Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

Semi-Supervised Classification of Terrain Features in Polarimetric SAR Images using H/A/alpha and the General Four-Component Scattering Power Decompositions.

Conference ·
OSTI ID:1242710
Abstract not provided.
Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
DOE Contract Number:
AC04-94AL85000
OSTI ID:
1242710
Report Number(s):
SAND2014-20040C; 547387
Country of Publication:
United States
Language:
English

Similar Records

Semi-Supervised Classification of Terrain Features in Polarimetric SAR Images.
Conference · Wed Oct 01 00:00:00 EDT 2014 · OSTI ID:1242119

Semi-Supervised Classification of Terrain Features in Polarimetric SAR Images.
Conference · Wed Dec 31 23:00:00 EST 2014 · OSTI ID:1244940

Semi-Supervised Terrain Classification of PolSAR Images.
Conference · Tue Jul 01 00:00:00 EDT 2014 · OSTI ID:1497326

Related Subjects