Title :
Polarimetric sscattering for information retrieval of SAR imagery
Author_Institution :
Key Lab. of Wave Scattering & Remote Sensing Inf., Fudan Univ., Shanghai, China
Abstract :
This paper presents an overview of recent research progress in WSRS on theoretical modeling of the terrain surface for polarimetric scattering simulation and Mueller matrix solution, mono-static and bistatic SAR image simulation, new parameters for unsupervised surface classification based on de-orientation approach, DEM inversion, change detection from multi-temporal SAR images, and reconstructions of buildings from multi-aspect SAR images etc.
Keywords :
information retrieval; radar imaging; radar polarimetry; synthetic aperture radar; DEM inversion; Mueller matrix solution; bistatic SAR image; deorientation approach; information retrieval; mono-static SAR image; multitemporal SAR images; polarimetric scattering simulation; terrain surface; Image retrieval; Information retrieval; Layout; Meteorological radar; Radar polarimetry; Radar scattering; Remote sensing; Scattering parameters; Shadow mapping; Surface topography;
Conference_Titel :
Synthetic Aperture Radar, 2009. APSAR 2009. 2nd Asian-Pacific Conference on
Conference_Location :
Xian, Shanxi
Print_ISBN :
978-1-4244-2731-4
Electronic_ISBN :
978-1-4244-2732-1
DOI :
10.1109/APSAR.2009.5374212
