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...

Full description

Bibliographic Details
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
Description
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.

Similar Items