Automated Terrain Classification Using Polarimetric Synthetic Aperture Radar
We have developed an effective and automated terrain classification algorithm that preserves scattering characteristics in PolSAR data while still allowing terrain type identification. This algorithm has been found to be applicable to sea ice classification and to rapid detection and deployment in d...
Main Authors: | , , , |
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Other Authors: | |
Format: | Text |
Language: | English |
Published: |
2005
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Online Access: | http://www.dtic.mil/docs/citations/ADA523383 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA523383 |
Summary: | We have developed an effective and automated terrain classification algorithm that preserves scattering characteristics in PolSAR data while still allowing terrain type identification. This algorithm has been found to be applicable to sea ice classification and to rapid detection and deployment in disaster management, e.g., the detection of landslide associated with earthquake and forest fires. Published in the Naval Research Laboratory (NRL) Review, p203-205, 2005. Sponsored in part by DARPA. |
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