The Experts below are selected from a list of 11163 Experts worldwide ranked by ideXlab platform
Lucien Wald - One of the best experts on this subject based on the ideXlab platform.
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synthesis of multispectral images to high spatial resolution a critical review of fusion methods based on remote sensing physics
IEEE Transactions on Geoscience and Remote Sensing, 2008Co-Authors: Claire Thomas, Lucien Wald, Thierry Ranchin, Jocelyn ChanussotAbstract:Our framework is the synthesis of multispectral images (MS) at higher spatial resolution, which should be as close as possible to those that would have been acquired by the corresponding sensors if they had this high resolution. This synthesis is performed with the help of a high spatial but low spectral resolution image: the panchromatic (Pan) image. The fusion of the Pan and MS images is classically referred as pan-sharpening. A Fused Product reaches good quality only if the characteristics and differences between input images are taken into account. Dissimilarities existing between these two data sets originate from two causes-different times and different spectral bands of acquisition. Remote sensing physics should be carefully considered while designing the fusion process. Because of the complexity of physics and the large number of unknowns, authors are led to make assumptions to drive their development. Weaknesses and strengths of each reported method are raised and confronted to these physical constraints. The conclusion of this critical survey of literature is that the choice in the assumptions for the development of a method is crucial, with the risk to drastically weaken fusion performance. It is also shown that the Amelioration de la Resolution Spatiale par Injection de Structures concept prevents from introducing spectral distortion into Fused Products and offers a reliable framework for further developments.
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Synthesis of multispectral images to high spatial resolution: a critical review of fusion methods based on remote sensing physics
IEEE Transactions on Geoscience and Remote Sensing, 2008Co-Authors: Claire Thomas, Lucien Wald, Thierry Ranchin, Jocelyn ChanussotAbstract:Our framework is the synthesis of multispectral images (MS) at higher spatial resolution, which should be as close as possible to those that would have been acquired by the corresponding sensors if they had this high resolution. This synthesis is performed with the help of a high spatial but low spectral resolution image: the panchromatic (Pan) image. The fusion of the Pan and MS images is classically referred as pan-sharpening. A Fused Product reaches good quality only if the characteristics and differences between input images are taken into account. Dissimilarities existing between these two data sets originate from two causes--different times and different spectral bands of acquisition. Remote sensing physics should be carefully considered while designing the fusion process. Because of the complexity of physics and the large number of unknowns, authors are led to make assumptions to drive their development. Weaknesses and strengths of each reported method are raised and confronted to these physical constraints. The conclusion of this critical survey of literature is that the choice in the assumptions for the development of a method is crucial, with the risk to drastically weaken fusion performance. It is also shown that the Amélioration de la Résolution Spatiale par Injection de Structures concept prevents from introducing spectral distortion into Fused Products and offers a reliable framework for further developments.
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A MTF-based distance for the assessment of geometrical quality of Fused Products
2006Co-Authors: Claire Thomas, Lucien WaldAbstract:This paper deals with the assessment of the quality of the Products resulting from the application of fusion methods, exploiting the synergy of multimodal images at a low spatial resolution and images at a higher spatial resolution but with a lower spectral content. It concentrates on the assessment of the geometrical quality through the analysis of the quality of selected contours. The first objective of our paper is to present a method for the estimation of the MTF. This method applies to excerpts of images containing long well contrasted linear features. The performance of the method is assessed by applying it to several Ikonos images and comparing the results to published works. The second objective is to demonstrate that the method may be exploited to assess the geometrical quality of the Fused Product.
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FUSION - A MTF-Based Distance for the Assessment of Geometrical Quality of Fused Products
2006 9th International Conference on Information Fusion, 2006Co-Authors: Claire Thomas, Lucien WaldAbstract:This paper deals with the assessment of the quality of the Products resulting from the application of fusion methods, exploiting the synergy of multimodal images at a low spatial resolution and images at a higher spatial resolution but with a lower spectral content. It concentrates on the assessment of the geometrical quality through the analysis of the quality of selected contours. The first objective of our paper is to present a method for the estimation of the MTF. This method applies to excerpts of images containing long well contrasted linear features. The performance of the method is assessed by applying it to several Ikonos images and comparing the results to published works. The second objective is to demonstrate that the method may be exploited to assess the geometrical quality of the Fused Product.
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Fusion of SPOT5 multispectral and Ikonos panchromatic images
2004Co-Authors: R. Alonso Reyes, Claire Thomas, M. Melgar, S. Fernandez, Thierry Ranchin, Lucien WaldAbstract:The offer of high spectral and high spatial resolutions images has grown in the last decade. It is know possible to obtain data from different sources with different spatial and spec-tral resolutions. The field of data fusion of remotely sensed data grown also very fast in the last years. In this paper, an algorithm allowing the merging of SPOT 5 images and Ikonos images are proposed. This algorithm is based on the ARSIS concept and presents an implementation for a ratio of spatial resolution equal to 10. The ARSIS concept is first detailed. Then, the way of de-fining a new implementation based on this concept is presented, allowing to understand how to define new implementations and to develop new solutions based on this concept. The proposed algorithm is developed, describing the different steps for building a Fused Product from a SPOT 5 multispectral data at 10 m and from a IKONOS panchromatic data at 1 m. Some other methods are proposed. The evaluation of the quality of the different methods is achieved using a set of quantitative quality parameters. The visual quality of the Products are evaluated by a set of inter-preters. Conclusions are drawn on the quality of the proposed Products.
Jocelyn Chanussot - One of the best experts on this subject based on the ideXlab platform.
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A Pansharpening Method Based on the Sparse Representation of Injected Details
IEEE Geoscience and Remote Sensing Letters, 2015Co-Authors: M.r. Vicinanza, R. Restaino, G Vivone, Mauro Dalla Mura, Jocelyn ChanussotAbstract:The application of sparse representation (SR) theory to the fusion of multispectral (MS) and panchromatic images is giving a large impulse to this topic, which is recast as a signal reconstruction problem from a reduced number of measurements. This letter presents an effective implementation of this technique, in which the application of SR is limited to the estimation of missing details that are injected in the available MS image to enhance its spatial features. We propose an algorithm exploiting the details self-similarity through the scales and compare it with classical and recent pansharpening methods, both at reduced and full resolution. Two different data sets, acquired by the WorldView-2 and IKONOS sensors, are employed for validation, achieving remarkable results in terms of spectral and spatial quality of the Fused Product.
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A method for improving the consistency property of pansharpening algorithms
2014Co-Authors: M.r. Vicinanza, R. Restaino, G Vivone, Mauro Dalla Mura, Giorgio Antonino Licciardi, Jocelyn ChanussotAbstract:The design of a pansharpening algorithm for enriching a MultiSpectral image with the spatial details of a Panchromatic image should preserve the characteristics of the original dataset. A widely employed quality check consists in verifying the consistency of the Fused Product, namely the similarity of the original image and a reduced resolution version of the sharpened Product. We propose to improve this feature by applying an Iterative Back-Projection algorithm after the fusion procedure. The approach is validated on two datasets, acquired by the Ikonos and WorldView-2 sensors, showing remarkable improvements, especially in conjunction with Component Substitution pansharpening methods.
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IGARSS - A method for improving the consistency property of pansharpening algorithms
2014 IEEE Geoscience and Remote Sensing Symposium, 2014Co-Authors: M.r. Vicinanza, R. Restaino, G Vivone, Giorgio Antonino Licciardi, M. Dalla Mura, Jocelyn ChanussotAbstract:The design of a pansharpening algorithm for enriching a MultiSpectral image with the spatial details of a Panchromatic image should preserve the characteristics of the original dataset. A widely employed quality check consists in verifying the consistency of the Fused Product, namely the similarity of the original image and a reduced resolution version of the sharpened Product. We propose to improve this feature by applying an Iterative Back-Projection algorithm after the fusion procedure. The approach is validated on two datasets, acquired by the Ikonos and WorldView-2 sensors, showing remarkable improvements, especially in conjunction with Component Substitution pansharpening methods.
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synthesis of multispectral images to high spatial resolution a critical review of fusion methods based on remote sensing physics
IEEE Transactions on Geoscience and Remote Sensing, 2008Co-Authors: Claire Thomas, Lucien Wald, Thierry Ranchin, Jocelyn ChanussotAbstract:Our framework is the synthesis of multispectral images (MS) at higher spatial resolution, which should be as close as possible to those that would have been acquired by the corresponding sensors if they had this high resolution. This synthesis is performed with the help of a high spatial but low spectral resolution image: the panchromatic (Pan) image. The fusion of the Pan and MS images is classically referred as pan-sharpening. A Fused Product reaches good quality only if the characteristics and differences between input images are taken into account. Dissimilarities existing between these two data sets originate from two causes-different times and different spectral bands of acquisition. Remote sensing physics should be carefully considered while designing the fusion process. Because of the complexity of physics and the large number of unknowns, authors are led to make assumptions to drive their development. Weaknesses and strengths of each reported method are raised and confronted to these physical constraints. The conclusion of this critical survey of literature is that the choice in the assumptions for the development of a method is crucial, with the risk to drastically weaken fusion performance. It is also shown that the Amelioration de la Resolution Spatiale par Injection de Structures concept prevents from introducing spectral distortion into Fused Products and offers a reliable framework for further developments.
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Synthesis of multispectral images to high spatial resolution: a critical review of fusion methods based on remote sensing physics
IEEE Transactions on Geoscience and Remote Sensing, 2008Co-Authors: Claire Thomas, Lucien Wald, Thierry Ranchin, Jocelyn ChanussotAbstract:Our framework is the synthesis of multispectral images (MS) at higher spatial resolution, which should be as close as possible to those that would have been acquired by the corresponding sensors if they had this high resolution. This synthesis is performed with the help of a high spatial but low spectral resolution image: the panchromatic (Pan) image. The fusion of the Pan and MS images is classically referred as pan-sharpening. A Fused Product reaches good quality only if the characteristics and differences between input images are taken into account. Dissimilarities existing between these two data sets originate from two causes--different times and different spectral bands of acquisition. Remote sensing physics should be carefully considered while designing the fusion process. Because of the complexity of physics and the large number of unknowns, authors are led to make assumptions to drive their development. Weaknesses and strengths of each reported method are raised and confronted to these physical constraints. The conclusion of this critical survey of literature is that the choice in the assumptions for the development of a method is crucial, with the risk to drastically weaken fusion performance. It is also shown that the Amélioration de la Résolution Spatiale par Injection de Structures concept prevents from introducing spectral distortion into Fused Products and offers a reliable framework for further developments.
Claire Thomas - One of the best experts on this subject based on the ideXlab platform.
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synthesis of multispectral images to high spatial resolution a critical review of fusion methods based on remote sensing physics
IEEE Transactions on Geoscience and Remote Sensing, 2008Co-Authors: Claire Thomas, Lucien Wald, Thierry Ranchin, Jocelyn ChanussotAbstract:Our framework is the synthesis of multispectral images (MS) at higher spatial resolution, which should be as close as possible to those that would have been acquired by the corresponding sensors if they had this high resolution. This synthesis is performed with the help of a high spatial but low spectral resolution image: the panchromatic (Pan) image. The fusion of the Pan and MS images is classically referred as pan-sharpening. A Fused Product reaches good quality only if the characteristics and differences between input images are taken into account. Dissimilarities existing between these two data sets originate from two causes-different times and different spectral bands of acquisition. Remote sensing physics should be carefully considered while designing the fusion process. Because of the complexity of physics and the large number of unknowns, authors are led to make assumptions to drive their development. Weaknesses and strengths of each reported method are raised and confronted to these physical constraints. The conclusion of this critical survey of literature is that the choice in the assumptions for the development of a method is crucial, with the risk to drastically weaken fusion performance. It is also shown that the Amelioration de la Resolution Spatiale par Injection de Structures concept prevents from introducing spectral distortion into Fused Products and offers a reliable framework for further developments.
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Synthesis of multispectral images to high spatial resolution: a critical review of fusion methods based on remote sensing physics
IEEE Transactions on Geoscience and Remote Sensing, 2008Co-Authors: Claire Thomas, Lucien Wald, Thierry Ranchin, Jocelyn ChanussotAbstract:Our framework is the synthesis of multispectral images (MS) at higher spatial resolution, which should be as close as possible to those that would have been acquired by the corresponding sensors if they had this high resolution. This synthesis is performed with the help of a high spatial but low spectral resolution image: the panchromatic (Pan) image. The fusion of the Pan and MS images is classically referred as pan-sharpening. A Fused Product reaches good quality only if the characteristics and differences between input images are taken into account. Dissimilarities existing between these two data sets originate from two causes--different times and different spectral bands of acquisition. Remote sensing physics should be carefully considered while designing the fusion process. Because of the complexity of physics and the large number of unknowns, authors are led to make assumptions to drive their development. Weaknesses and strengths of each reported method are raised and confronted to these physical constraints. The conclusion of this critical survey of literature is that the choice in the assumptions for the development of a method is crucial, with the risk to drastically weaken fusion performance. It is also shown that the Amélioration de la Résolution Spatiale par Injection de Structures concept prevents from introducing spectral distortion into Fused Products and offers a reliable framework for further developments.
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A MTF-based distance for the assessment of geometrical quality of Fused Products
2006Co-Authors: Claire Thomas, Lucien WaldAbstract:This paper deals with the assessment of the quality of the Products resulting from the application of fusion methods, exploiting the synergy of multimodal images at a low spatial resolution and images at a higher spatial resolution but with a lower spectral content. It concentrates on the assessment of the geometrical quality through the analysis of the quality of selected contours. The first objective of our paper is to present a method for the estimation of the MTF. This method applies to excerpts of images containing long well contrasted linear features. The performance of the method is assessed by applying it to several Ikonos images and comparing the results to published works. The second objective is to demonstrate that the method may be exploited to assess the geometrical quality of the Fused Product.
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FUSION - A MTF-Based Distance for the Assessment of Geometrical Quality of Fused Products
2006 9th International Conference on Information Fusion, 2006Co-Authors: Claire Thomas, Lucien WaldAbstract:This paper deals with the assessment of the quality of the Products resulting from the application of fusion methods, exploiting the synergy of multimodal images at a low spatial resolution and images at a higher spatial resolution but with a lower spectral content. It concentrates on the assessment of the geometrical quality through the analysis of the quality of selected contours. The first objective of our paper is to present a method for the estimation of the MTF. This method applies to excerpts of images containing long well contrasted linear features. The performance of the method is assessed by applying it to several Ikonos images and comparing the results to published works. The second objective is to demonstrate that the method may be exploited to assess the geometrical quality of the Fused Product.
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Fusion of SPOT5 multispectral and Ikonos panchromatic images
2004Co-Authors: R. Alonso Reyes, Claire Thomas, M. Melgar, S. Fernandez, Thierry Ranchin, Lucien WaldAbstract:The offer of high spectral and high spatial resolutions images has grown in the last decade. It is know possible to obtain data from different sources with different spatial and spec-tral resolutions. The field of data fusion of remotely sensed data grown also very fast in the last years. In this paper, an algorithm allowing the merging of SPOT 5 images and Ikonos images are proposed. This algorithm is based on the ARSIS concept and presents an implementation for a ratio of spatial resolution equal to 10. The ARSIS concept is first detailed. Then, the way of de-fining a new implementation based on this concept is presented, allowing to understand how to define new implementations and to develop new solutions based on this concept. The proposed algorithm is developed, describing the different steps for building a Fused Product from a SPOT 5 multispectral data at 10 m and from a IKONOS panchromatic data at 1 m. Some other methods are proposed. The evaluation of the quality of the different methods is achieved using a set of quantitative quality parameters. The visual quality of the Products are evaluated by a set of inter-preters. Conclusions are drawn on the quality of the proposed Products.
Thierry Ranchin - One of the best experts on this subject based on the ideXlab platform.
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synthesis of multispectral images to high spatial resolution a critical review of fusion methods based on remote sensing physics
IEEE Transactions on Geoscience and Remote Sensing, 2008Co-Authors: Claire Thomas, Lucien Wald, Thierry Ranchin, Jocelyn ChanussotAbstract:Our framework is the synthesis of multispectral images (MS) at higher spatial resolution, which should be as close as possible to those that would have been acquired by the corresponding sensors if they had this high resolution. This synthesis is performed with the help of a high spatial but low spectral resolution image: the panchromatic (Pan) image. The fusion of the Pan and MS images is classically referred as pan-sharpening. A Fused Product reaches good quality only if the characteristics and differences between input images are taken into account. Dissimilarities existing between these two data sets originate from two causes-different times and different spectral bands of acquisition. Remote sensing physics should be carefully considered while designing the fusion process. Because of the complexity of physics and the large number of unknowns, authors are led to make assumptions to drive their development. Weaknesses and strengths of each reported method are raised and confronted to these physical constraints. The conclusion of this critical survey of literature is that the choice in the assumptions for the development of a method is crucial, with the risk to drastically weaken fusion performance. It is also shown that the Amelioration de la Resolution Spatiale par Injection de Structures concept prevents from introducing spectral distortion into Fused Products and offers a reliable framework for further developments.
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Synthesis of multispectral images to high spatial resolution: a critical review of fusion methods based on remote sensing physics
IEEE Transactions on Geoscience and Remote Sensing, 2008Co-Authors: Claire Thomas, Lucien Wald, Thierry Ranchin, Jocelyn ChanussotAbstract:Our framework is the synthesis of multispectral images (MS) at higher spatial resolution, which should be as close as possible to those that would have been acquired by the corresponding sensors if they had this high resolution. This synthesis is performed with the help of a high spatial but low spectral resolution image: the panchromatic (Pan) image. The fusion of the Pan and MS images is classically referred as pan-sharpening. A Fused Product reaches good quality only if the characteristics and differences between input images are taken into account. Dissimilarities existing between these two data sets originate from two causes--different times and different spectral bands of acquisition. Remote sensing physics should be carefully considered while designing the fusion process. Because of the complexity of physics and the large number of unknowns, authors are led to make assumptions to drive their development. Weaknesses and strengths of each reported method are raised and confronted to these physical constraints. The conclusion of this critical survey of literature is that the choice in the assumptions for the development of a method is crucial, with the risk to drastically weaken fusion performance. It is also shown that the Amélioration de la Résolution Spatiale par Injection de Structures concept prevents from introducing spectral distortion into Fused Products and offers a reliable framework for further developments.
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Fusion of SPOT5 multispectral and Ikonos panchromatic images
2004Co-Authors: R. Alonso Reyes, Claire Thomas, M. Melgar, S. Fernandez, Thierry Ranchin, Lucien WaldAbstract:The offer of high spectral and high spatial resolutions images has grown in the last decade. It is know possible to obtain data from different sources with different spatial and spec-tral resolutions. The field of data fusion of remotely sensed data grown also very fast in the last years. In this paper, an algorithm allowing the merging of SPOT 5 images and Ikonos images are proposed. This algorithm is based on the ARSIS concept and presents an implementation for a ratio of spatial resolution equal to 10. The ARSIS concept is first detailed. Then, the way of de-fining a new implementation based on this concept is presented, allowing to understand how to define new implementations and to develop new solutions based on this concept. The proposed algorithm is developed, describing the different steps for building a Fused Product from a SPOT 5 multispectral data at 10 m and from a IKONOS panchromatic data at 1 m. Some other methods are proposed. The evaluation of the quality of the different methods is achieved using a set of quantitative quality parameters. The visual quality of the Products are evaluated by a set of inter-preters. Conclusions are drawn on the quality of the proposed Products.
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image fusion the arsis concept and some successful implementation schemes
Isprs Journal of Photogrammetry and Remote Sensing, 2003Co-Authors: Thierry Ranchin, Stefano Baronti, Bruno Aiazzi, Luciano Alparone, Lucien WaldAbstract:This article aims at explaining the ARSIS concept. By fusing two sets of images A and B, one with a high spatial resolution, the other with a low spatial resolution and different spectral bands, the ARSIS concept permits to synthesise the dataset B at the resolution of A that is as close as possible to reality. It is based on the assumption that the missing information is linked to the high frequencies in the sets A and B. It searches a relationship between the high frequencies in the multispectral set B and the set A and models this relationship. The general problem for the synthesis is presented first. The general properties of the Fused Product are given. Then, the ARSIS concept is discussed. The general scheme for the implementation of a method belonging to this concept is presented. Then, this article intends to help practitioners and researchers to better understand this concept through practical details about implementations. Two Multiscale Models are described as well as two Inter-Band Structure Models (IBSM). They are applied to an Ikonos image as an illustration case. The Fused Products are assessed by means of a known protocol comprising a series of qualitative and quantitative tests. The Products are found of satisfactory quality. This case illustrates the differences existing between the various models, their advantages and limits. Tracks for future improvements are discussed.
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Image fusion—the ARSIS concept and some successful implementation schemes
Isprs Journal of Photogrammetry and Remote Sensing, 2003Co-Authors: Thierry Ranchin, Stefano Baronti, Bruno Aiazzi, Luciano Alparone, Lucien WaldAbstract:This article aims at explaining the ARSIS concept. By fusing two sets of images A and B, one with a high spatial resolution, the other with a low spatial resolution and different spectral bands, the ARSIS concept permits to synthesise the dataset B at the resolution of A that is as close as possible to reality. It is based on the assumption that the missing information is linked to the high frequencies in the sets A and B. It searches a relationship between the high frequencies in the multispectral set B and the set A and models this relationship. The general problem for the synthesis is presented first. The general properties of the Fused Product are given. Then, the ARSIS concept is discussed. The general scheme for the implementation of a method belonging to this concept is presented. Then, this article intends to help practitioners and researchers to better understand this concept through practical details about implementations. Two Multiscale Models are described as well as two Inter-Band Structure Models (IBSM). They are applied to an Ikonos image as an illustration case. The Fused Products are assessed by means of a known protocol comprising a series of qualitative and quantitative tests. The Products are found of satisfactory quality. This case illustrates the differences existing between the various models, their advantages and limits. Tracks for future improvements are discussed.
Sylvain Antoniotti - One of the best experts on this subject based on the ideXlab platform.
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Unusual Polycyclic Fused Product by Oxidative Enzymatic Dimerisation of 5-methylpyrogallol Catalysed by Horseradish Peroxidase/H₂O₂
Molecules (Basel Switzerland), 2018Co-Authors: Hélène Bouges, Kevin Calabro, Olivier P. Thomas, Sylvain AntoniottiAbstract:During investigations on the peroxidase-catalysed oxidation of polyhydroxylated monoaromatic substrates such as 5-methylpyrogallol, we observed a spectacular dimerisation proceeding by dearomatisation in contrast with most common reaction patterns involving phenolics oxidation and dimerization. A tetracyclic Fused Product featuring an unusual 2-oxatetracyclo [6.3.1.01,6.04,12] dodecan-3-one core was obtained and characterized by combined NMR techniques and high resolution mass spectroscopy (HRMS). This is an example of a spontaneous cascade triggered by a simple enzymatic reaction that could provide new options for biosynthetic hypothesis and a synthetic method to access this complex core in one operation.
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unusual polycyclic Fused Product by oxidative enzymatic dimerisation of 5 methylpyrogallol catalysed by horseradish peroxidase h o
Molecules, 2018Co-Authors: Hélène Bouges, Kevin Calabro, Olivier P. Thomas, Sylvain AntoniottiAbstract:During investigations on the peroxidase-catalysed oxidation of polyhydroxylated monoaromatic substrates such as 5-methylpyrogallol, we observed a spectacular dimerisation proceeding by dearomatisation in contrast with most common reaction patterns involving phenolics oxidation and dimerization. A tetracyclic Fused Product featuring an unusual 2-oxatetracyclo [6.3.1.01,6.04,12] dodecan-3-one core was obtained and characterized by combined NMR techniques and high resolution mass spectroscopy (HRMS). This is an example of a spontaneous cascade triggered by a simple enzymatic reaction that could provide new options for biosynthetic hypothesis and a synthetic method to access this complex core in one operation.
