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- W2023359009 abstract "Many emerging SAR applications require imagery which is multi-channel either in time, frequency, or polarization. If SAR segmentation algorithms are going to be of genuine utility they must be applicable to such datasets. Two approaches to multi-channel segmentation are considered: segmenting each channel separately and then recombining the results; and segmenting the multi-channel image as a single entity. In both cases segmentation is based on edge detection and segment growing. The utility of multi-channel segmentation for change detection, classification and analyzing the information content of multi-channel data, is discussed. A multi-temporal ERS-1 image, and a multi-polarized, multi-frequency AIRSAR image of the same agricultural scene, are used for case studies.© (1995) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only." @default.
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- W2023359009 date "1995-11-21" @default.
- W2023359009 modified "2023-10-05" @default.
- W2023359009 title "<title>Multichannel SAR segmentation: algorithms and applications</title>" @default.
- W2023359009 doi "https://doi.org/10.1117/12.227132" @default.
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