The Experts below are selected from a list of 36876 Experts worldwide ranked by ideXlab platform
Dayalan Kasilingam - One of the best experts on this subject based on the ideXlab platform.
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2001: An ERS-1 synthetic aperture Radar Image of a tropical squall line compared with weather Radar data
2016Co-Authors: I-i. Lin, V Khoo, Werner Alpers, Hock Lim, Tian Kuay Lim, Dayalan KasilingamAbstract:Abstract—A Radar Image acquired by the C-band synthetic aperture Radar (SAR) aboard the European Remote Sensing satellite ERS-2 over the coastal waters south of Singapore showing Radar signatures of a strong tropical squall line (“Sumatra Squall”) is compared with coincident and collocated weather Radar data. Squall line features such as the gust front, areas of updraft convergence, and rain areas are identified. Possible attenuation effects from the rain drops in the atmosphere under very heavy rain (rain rate 100 mm/h) is suggested. In addition, the possibility of extracting the associated geophysical parameters, i.e., rain rate and wind speed from SAR Imagery is investigated. The rain rate is estimated from the attenuation signature in the SAR Image. Comparison between the estimated rain rate and weather Radar rain rate shows consistency. Wind speed associated with the squall line is estimated based on the CMOD4 wind scatterometer model. The estimated wind speed pattern appears to be in agreement with the observed squall line structure. Possible errors in the wind estimation due to effects of rain are suggested. I
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An ERS-1 synthetic aperture Radar Image of a tropical squall line compared with weather Radar data
IEEE Transactions on Geoscience and Remote Sensing, 2001Co-Authors: Werner Alpers, V Khoo, Dayalan KasilingamAbstract:A Radar Image acquired by the C-band synthetic aperture Radar (SAR) aboard the European Remote Sensing satellite ERS-2 over the coastal waters south of Singapore showing Radar signatures of a strong tropical squall line ("Sumatra Squall") is compared with coincident and collocated weather Radar data. Squall line features such as the gust front, areas of updraft convergence, and rain areas are identified. Possible attenuation effects from the rain drops in the atmosphere under very heavy rain (rain rate >100 mm/h) is suggested. In addition, the possibility of extracting the associated geophysical parameters, i.e., rain rate and wind speed from SAR Imagery is investigated. The rain rate is estimated from the attenuation signature in the SAR Image. Comparison between the estimated rain rate and weather Radar rain rate shows consistency. Wind speed associated with the squall line is estimated based on the CMOD4 wind scatterometer model. The estimated wind speed pattern appears to be in agreement with the observed squall line structure. Possible errors in the wind estimation due to effects of rain are suggested.
Werner Alpers - One of the best experts on this subject based on the ideXlab platform.
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2001: An ERS-1 synthetic aperture Radar Image of a tropical squall line compared with weather Radar data
2016Co-Authors: I-i. Lin, V Khoo, Werner Alpers, Hock Lim, Tian Kuay Lim, Dayalan KasilingamAbstract:Abstract—A Radar Image acquired by the C-band synthetic aperture Radar (SAR) aboard the European Remote Sensing satellite ERS-2 over the coastal waters south of Singapore showing Radar signatures of a strong tropical squall line (“Sumatra Squall”) is compared with coincident and collocated weather Radar data. Squall line features such as the gust front, areas of updraft convergence, and rain areas are identified. Possible attenuation effects from the rain drops in the atmosphere under very heavy rain (rain rate 100 mm/h) is suggested. In addition, the possibility of extracting the associated geophysical parameters, i.e., rain rate and wind speed from SAR Imagery is investigated. The rain rate is estimated from the attenuation signature in the SAR Image. Comparison between the estimated rain rate and weather Radar rain rate shows consistency. Wind speed associated with the squall line is estimated based on the CMOD4 wind scatterometer model. The estimated wind speed pattern appears to be in agreement with the observed squall line structure. Possible errors in the wind estimation due to effects of rain are suggested. I
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An ERS-1 synthetic aperture Radar Image of a tropical squall line compared with weather Radar data
IEEE Transactions on Geoscience and Remote Sensing, 2001Co-Authors: Werner Alpers, V Khoo, Dayalan KasilingamAbstract:A Radar Image acquired by the C-band synthetic aperture Radar (SAR) aboard the European Remote Sensing satellite ERS-2 over the coastal waters south of Singapore showing Radar signatures of a strong tropical squall line ("Sumatra Squall") is compared with coincident and collocated weather Radar data. Squall line features such as the gust front, areas of updraft convergence, and rain areas are identified. Possible attenuation effects from the rain drops in the atmosphere under very heavy rain (rain rate >100 mm/h) is suggested. In addition, the possibility of extracting the associated geophysical parameters, i.e., rain rate and wind speed from SAR Imagery is investigated. The rain rate is estimated from the attenuation signature in the SAR Image. Comparison between the estimated rain rate and weather Radar rain rate shows consistency. Wind speed associated with the squall line is estimated based on the CMOD4 wind scatterometer model. The estimated wind speed pattern appears to be in agreement with the observed squall line structure. Possible errors in the wind estimation due to effects of rain are suggested.
V Khoo - One of the best experts on this subject based on the ideXlab platform.
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2001: An ERS-1 synthetic aperture Radar Image of a tropical squall line compared with weather Radar data
2016Co-Authors: I-i. Lin, V Khoo, Werner Alpers, Hock Lim, Tian Kuay Lim, Dayalan KasilingamAbstract:Abstract—A Radar Image acquired by the C-band synthetic aperture Radar (SAR) aboard the European Remote Sensing satellite ERS-2 over the coastal waters south of Singapore showing Radar signatures of a strong tropical squall line (“Sumatra Squall”) is compared with coincident and collocated weather Radar data. Squall line features such as the gust front, areas of updraft convergence, and rain areas are identified. Possible attenuation effects from the rain drops in the atmosphere under very heavy rain (rain rate 100 mm/h) is suggested. In addition, the possibility of extracting the associated geophysical parameters, i.e., rain rate and wind speed from SAR Imagery is investigated. The rain rate is estimated from the attenuation signature in the SAR Image. Comparison between the estimated rain rate and weather Radar rain rate shows consistency. Wind speed associated with the squall line is estimated based on the CMOD4 wind scatterometer model. The estimated wind speed pattern appears to be in agreement with the observed squall line structure. Possible errors in the wind estimation due to effects of rain are suggested. I
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An ERS-1 synthetic aperture Radar Image of a tropical squall line compared with weather Radar data
IEEE Transactions on Geoscience and Remote Sensing, 2001Co-Authors: Werner Alpers, V Khoo, Dayalan KasilingamAbstract:A Radar Image acquired by the C-band synthetic aperture Radar (SAR) aboard the European Remote Sensing satellite ERS-2 over the coastal waters south of Singapore showing Radar signatures of a strong tropical squall line ("Sumatra Squall") is compared with coincident and collocated weather Radar data. Squall line features such as the gust front, areas of updraft convergence, and rain areas are identified. Possible attenuation effects from the rain drops in the atmosphere under very heavy rain (rain rate >100 mm/h) is suggested. In addition, the possibility of extracting the associated geophysical parameters, i.e., rain rate and wind speed from SAR Imagery is investigated. The rain rate is estimated from the attenuation signature in the SAR Image. Comparison between the estimated rain rate and weather Radar rain rate shows consistency. Wind speed associated with the squall line is estimated based on the CMOD4 wind scatterometer model. The estimated wind speed pattern appears to be in agreement with the observed squall line structure. Possible errors in the wind estimation due to effects of rain are suggested.
Silvana G Dellepiane - One of the best experts on this subject based on the ideXlab platform.
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synthetic aperture Radar Image segmentation by a detail preserving markov random field approach
IEEE Transactions on Geoscience and Remote Sensing, 1997Co-Authors: P C Smits, Silvana G DellepianeAbstract:A multichannel Image segmentation method is imposed that utilizes Markov random fields (MRFs) with adaptive neighborhood (AN) systems. Bayesian inference is applied to realize the combination of evidence from different knowledge sources. In such a way, optimization of the shape of a neighborhood system is achieved by following a criterion that makes use of the Markovian property exploiting the local Image content. The MRF segmentation approach with AN systems (MRF-AN) makes it possible to better preserve small features and border areas. The purpose of the paper is to show the usefulness of the concept of MRF-AN for SAR Image segmentation.
W C Karl - One of the best experts on this subject based on the ideXlab platform.
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feature enhanced synthetic aperture Radar Image formation based on nonquadratic regularization
IEEE Transactions on Image Processing, 2001Co-Authors: Mujdat Cetin, W C KarlAbstract:We develop a method for the formation of spotlight-mode synthetic aperture Radar (SAR) Images with enhanced features. The approach is based on a regularized reconstruction of the scattering field which combines a tomographic model of the SAR observation process with prior information regarding the nature of the features of interest. Compared to conventional SAR techniques, the method we propose produces Images with increased resolution, reduced sidelobes, reduced speckle and easier-to-segment regions. Our technique effectively deals with the complex-valued, random-phase nature of the underlying SAR reflectivities. An efficient and robust numerical solution is achieved through extensions of half-quadratic regularization methods to the complex-valued SAR problem. We demonstrate the performance of the method on synthetic and real SAR scenes.
