Automated Terrain Classification Using Polarimetric Synthetic Aperture Radar

• Main Authors: Lee, J.-S., Grunes, M. R., Pottier, E., Ferro-Famil, L.
• Other Authors: NAVAL RESEARCH LAB WASHINGTON DC REMOTE SENSING DIV
• Format: Text
• Language: English
• Published: 2005
• Subjects: Active & Passive Radar Detection & Equipment; *SYNTHETIC APERTURE RADAR; *POLARIMETRY; QUICK REACTION; DISASTERS; SEA ICE; FOREST FIRES; ALGORITHMS; EARTHQUAKES; LANDSLIDES; SCATTERING; TERRAIN; POLSAR(POLARIMETRIC SYNTHETIC APERTURE RADAR); Sea ice
• Online Access: http://www.dtic.mil/docs/citations/ADA523383; http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA523383

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.