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Reicherter Klaus - One of the best experts on this subject based on the ideXlab platform.

  • Digital Elevation Models and orthorectified photo mosaics of massively dilatant faults in Iceland: Thingvellir
    2020
    Co-Authors: Weismüller Christopher, Kettermann Michael, Von Hagke Christoph, Urai Janos, Reicherter Klaus
    Abstract:

    This dataset includes Digital Elevation Models (DEMs) and orthorectified mosaics (OMs) from the Thingvellir site. It is part of a collection of altogether 27 DEMs and OMs of fractures associated with massively dilatant faults along the rift zones in Iceland. The dataset was created from aerial images acquired using unmanned aerial vehicles. The DEMs and orthorectified mosaics were produced from sets of overlapping photographs shot from different altitude and created using the photogrammetry processing software Agisoft PhotoScan Professional V. 1.3.2 (2017). The products show the fractures and faults in cm-scale resolution

  • Digital Elevation Models and orthorectified photo mosaics of massively dilatant faults in Iceland: Watercrack
    2020
    Co-Authors: Weismüller Christopher, Kettermann Michael, Von Hagke Christoph, Urai Janos, Reicherter Klaus
    Abstract:

    This dataset includes Digital Elevation Models (DEMs) and orthorectified mosaics (OMs) from the watercrack site. It is part of a collection of altogether 27 DEMs and OMs of fractures associated with massively dilatant faults along the rift zones in Iceland. The dataset was created from aerial images acquired using unmanned aerial vehicles. The DEMs and orthorectified mosaics were produced from sets of overlapping photographs shot from different altitude and created using the photogrammetry processing software Agisoft PhotoScan Professional V. 1.3.2 (2017). The products show the fractures and faults in cm-scale resolution

  • Digital Elevation Models and orthorectified photo mosaics of massively dilatant faults in Iceland: Krafla
    2020
    Co-Authors: Weismüller Christopher, Kettermann Michael, Von Hagke Christoph, Urai Janos, Reicherter Klaus
    Abstract:

    This dataset includes Digital Elevation Models (DEMs) and orthorectified mosaics (OMs) from the Krafla site. It is part of a collection of altogether 27 DEMs and OMs of fractures associated with massively dilatant faults along the rift zones in Iceland. The dataset was created from aerial images acquired using unmanned aerial vehicles. The DEMs and orthorectified mosaics were produced from sets of overlapping photographs shot from different altitude and created using the photogrammetry processing software Agisoft PhotoScan Professional V. 1.3.2 (2017). The products show the fractures and faults in cm-scale resolution

  • Digital Elevation Models and orthorectified photo mosaics of massively dilatant faults in Iceland: Sveinagja
    2020
    Co-Authors: Weismüller Christopher, Kettermann Michael, Von Hagke Christoph, Urai Janos, Reicherter Klaus
    Abstract:

    This dataset includes Digital Elevation Models (DEMs) and orthorectified mosaics (OMs) from the Sveinagja site. It is part of a collection of altogether 27 DEMs and OMs of fractures associated with massively dilatant faults along the rift zones in Iceland. The dataset was created from aerial images acquired using unmanned aerial vehicles. The DEMs and orthorectified mosaics were produced from sets of overlapping photographs shot from different altitude and created using the photogrammetry processing software Agisoft PhotoScan Professional V. 1.3.2 (2017). The products show the fractures and faults in cm-scale resolution

  • Digital Elevation Models and orthorectified photo mosaics of massively dilatant faults in Iceland: Asbyrgi
    2020
    Co-Authors: Weismüller Christopher, Kettermann Michael, Von Hagke Christoph, Urai Janos, Reicherter Klaus
    Abstract:

    This dataset includes Digital Elevation Models (DEMs) and orthorectified mosaics (OMs) from the Asbyrgi site. It is part of a collection of altogether 27 DEMs and OMs of fractures associated with massively dilatant faults along the rift zones in Iceland. The dataset was created from aerial images acquired using unmanned aerial vehicles. The DEMs and orthorectified mosaics were produced from sets of overlapping photographs shot from different altitude and created using the photogrammetry processing software Agisoft PhotoScan Professional V. 1.3.2 (2017). The products show the fractures and faults in cm-scale resolution

Hideaki Enomoto - One of the best experts on this subject based on the ideXlab platform.

Hossein Arefi - One of the best experts on this subject based on the ideXlab platform.

  • THE RATIONAL POLYNOMIAL COEFFICIENTS MODIFICATION USING Digital Elevation Models
    ISPRS - International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences, 2015
    Co-Authors: F. Alidoost, Ali Azizi, Hossein Arefi
    Abstract:

    The high-resolution satellite imageries (HRSI) are as primary dataset for different applications such as DEM generation, 3D city mapping, change detection, monitoring, and deformation detection. The geo-location information of HRSI are stored in metadata called Rational Polynomial Coefficients (RPCs). There are many methods to improve and modify the RPCs in order to have a precise mapping. In this paper, an automatic approach is presented for the RPC modification using global Digital Elevation Models. The main steps of this approach are: relative Digital Elevation model generation, shift parameters calculation, sparse point cloud generation and shift correction, and rational polynomial fitting. Using some ground control points, the accuracy of the proposed method is evaluated based on statistical descriptors in which the results show that the geo-location accuracy of HRSI can be improved without using Ground Control Points (GCPs).

  • accuracy enhancement of aster global Digital Elevation Models using icesat data
    Remote Sensing, 2011
    Co-Authors: Hossein Arefi, Peter Reinartz
    Abstract:

    Global Digital Elevation Models (GDEM) are considered very attractive for current research and application areas due to their free and wide range accessibility. The ASTER Global Digital Elevation Model exhibits the highest spatial resolution data of all global DEMs and it is generated for almost the whole globe. Unfortunately, ASTERGDEM data include many artifacts and height errors that decrease the quality and Elevation accuracy significantly. This study provides a method for quality improvement of the ASTER GDEM data by correcting systematic height errors using ICESat laser altimetry data and removing artifacts and anomalies based on a segment-based outlier detection and elimination algorithm. Additionally, Elevation errors within water bodies are corrected using a water mask produced from a high-resolution shoreline data set. Results indicate that the accuracy of the corrected ASTER GDEM is significantly improved and most artifacts are appropriately eliminated. Nevertheless, artifacts containing lower height values with respect to the neighboring ground pixels are not entirely eliminated due to confusion with some real non-terrain 3D objects. The proposed method is particularly useful for areas where other high quality DEMs such as SRTM are not available.

Bryn Hubbard - One of the best experts on this subject based on the ideXlab platform.

  • Creating HiRISE Digital Elevation Models for Mars using the open-source Ames Stereo Pipeline
    Geoscientific Instrumentation Methods and Data Systems, 2019
    Co-Authors: Adam Hepburn, Tom Holt, Bryn Hubbard
    Abstract:

    Abstract. The present availability of sub-decametre Digital Elevation Models on Mars – crucial for the study of surface processes – is scarce. In contrast to low-resolution global datasets, such Models enable the study of landforms  km in size, which is the primary scale at which geomorphic processes have been active on Mars over the last 10–20 Myr . Stereogrammetry is a means of producing Digital Elevation Models from stereo pairs of images. The HiRISE camera on board the Mars Reconnaissance Orbiter has captured >3000 stereo pairs at 0.25 m pixel −1 resolution, enabling the creation of high-resolution Digital Elevation Models (1–2 m pixel −1 ). Hitherto, only ∼500 of these pairs have been processed and made publicly available. Existing pipelines for the production of Digital Elevation Models from stereo pairs, however, are built upon commercial software, rely upon sparsely available intermediate data, or are reliant on proprietary algorithms. In this paper, we present and test the output of a new pipeline for producing Digital Elevation Models from HiRISE stereo pairs that is built entirely upon the open-source NASA Ames Stereo Pipeline photogrammetric software, making use of freely available data for cartographic rectification. This pipeline is designed for simple application by researchers interested in the use of high-resolution Digital Elevation Models. Implemented here on a research computing cluster, this pipeline can also be used on consumer-grade UNIX computers. We produce and evaluate four Digital Elevation Models using the pipeline presented here. Each are globally well registered, with accuracy similar to those of Digital Elevation Models produced elsewhere.

  • Creating HiRISE Digital Elevation Models for Mars using the open-source Ames Stereo Pipeline
    2019
    Co-Authors: Adam J. Hepburn, Tom Holt, Bryn Hubbard
    Abstract:

    Abstract. The present availability of sub-decametre Digital Elevation Models on Mars – crucial for the study of surface processes – is scarce. In contrast to the globally-available but low-resolution datasets, such Models enable the study of landforms  3000 stereo pairs at 25 cm/pixel resolution, enabling the creation of high-resolution Digital Elevation Models (1–2 m/pixel). However, only ~ 500 of these pairs have been processed and made publicly available to date. Existing pipelines for the production of Digital Elevation Models from stereo-pairs, however, are built upon commercial software, rely upon sparsely-available intermediate data, or are reliant on proprietary algorithms. Here, we present and test the output of a new pipeline for producing Digital Elevation Models from HiRISE stereo pairs that is built entirely upon the open source NASA Ames Stereo Pipeline photogrammetric software, making use of freely available data for cartographic rectification. This pipeline is implemented here on a research computing cluster, but can also be used on consumer-grade UNIX computers. The four output Digital Elevation Models produced using the pipeline presented here are globally well-registered, with accuracy similar to those of multiple Digital Elevation Models produced elsewhere.

Weismüller Christopher - One of the best experts on this subject based on the ideXlab platform.

  • Digital Elevation Models and orthorectified photo mosaics of massively dilatant faults in Iceland: Thingvellir
    2020
    Co-Authors: Weismüller Christopher, Kettermann Michael, Von Hagke Christoph, Urai Janos, Reicherter Klaus
    Abstract:

    This dataset includes Digital Elevation Models (DEMs) and orthorectified mosaics (OMs) from the Thingvellir site. It is part of a collection of altogether 27 DEMs and OMs of fractures associated with massively dilatant faults along the rift zones in Iceland. The dataset was created from aerial images acquired using unmanned aerial vehicles. The DEMs and orthorectified mosaics were produced from sets of overlapping photographs shot from different altitude and created using the photogrammetry processing software Agisoft PhotoScan Professional V. 1.3.2 (2017). The products show the fractures and faults in cm-scale resolution

  • Digital Elevation Models and orthorectified photo mosaics of massively dilatant faults in Iceland: Watercrack
    2020
    Co-Authors: Weismüller Christopher, Kettermann Michael, Von Hagke Christoph, Urai Janos, Reicherter Klaus
    Abstract:

    This dataset includes Digital Elevation Models (DEMs) and orthorectified mosaics (OMs) from the watercrack site. It is part of a collection of altogether 27 DEMs and OMs of fractures associated with massively dilatant faults along the rift zones in Iceland. The dataset was created from aerial images acquired using unmanned aerial vehicles. The DEMs and orthorectified mosaics were produced from sets of overlapping photographs shot from different altitude and created using the photogrammetry processing software Agisoft PhotoScan Professional V. 1.3.2 (2017). The products show the fractures and faults in cm-scale resolution

  • Digital Elevation Models and orthorectified photo mosaics of massively dilatant faults in Iceland: Krafla
    2020
    Co-Authors: Weismüller Christopher, Kettermann Michael, Von Hagke Christoph, Urai Janos, Reicherter Klaus
    Abstract:

    This dataset includes Digital Elevation Models (DEMs) and orthorectified mosaics (OMs) from the Krafla site. It is part of a collection of altogether 27 DEMs and OMs of fractures associated with massively dilatant faults along the rift zones in Iceland. The dataset was created from aerial images acquired using unmanned aerial vehicles. The DEMs and orthorectified mosaics were produced from sets of overlapping photographs shot from different altitude and created using the photogrammetry processing software Agisoft PhotoScan Professional V. 1.3.2 (2017). The products show the fractures and faults in cm-scale resolution

  • Digital Elevation Models and orthorectified photo mosaics of massively dilatant faults in Iceland: Sveinagja
    2020
    Co-Authors: Weismüller Christopher, Kettermann Michael, Von Hagke Christoph, Urai Janos, Reicherter Klaus
    Abstract:

    This dataset includes Digital Elevation Models (DEMs) and orthorectified mosaics (OMs) from the Sveinagja site. It is part of a collection of altogether 27 DEMs and OMs of fractures associated with massively dilatant faults along the rift zones in Iceland. The dataset was created from aerial images acquired using unmanned aerial vehicles. The DEMs and orthorectified mosaics were produced from sets of overlapping photographs shot from different altitude and created using the photogrammetry processing software Agisoft PhotoScan Professional V. 1.3.2 (2017). The products show the fractures and faults in cm-scale resolution

  • Digital Elevation Models and orthorectified photo mosaics of massively dilatant faults in Iceland: Asbyrgi
    2020
    Co-Authors: Weismüller Christopher, Kettermann Michael, Von Hagke Christoph, Urai Janos, Reicherter Klaus
    Abstract:

    This dataset includes Digital Elevation Models (DEMs) and orthorectified mosaics (OMs) from the Asbyrgi site. It is part of a collection of altogether 27 DEMs and OMs of fractures associated with massively dilatant faults along the rift zones in Iceland. The dataset was created from aerial images acquired using unmanned aerial vehicles. The DEMs and orthorectified mosaics were produced from sets of overlapping photographs shot from different altitude and created using the photogrammetry processing software Agisoft PhotoScan Professional V. 1.3.2 (2017). The products show the fractures and faults in cm-scale resolution