Title :
Mapping and Projection Algorithm: A New Approach to SAR Imaging Simulation for Comprehensive Terrain Scene
Author :
Xu, Feng ; Jin, Ya-Qiu
Author_Institution :
Key Lab. of Wave Scattering & Remote Sensing Inf. (Minist. of Educ.), Fudan Univ., Shanghai
fDate :
July 31 2006-Aug. 4 2006
Abstract :
A novel fast algorithm of polarimetric image simulation for SAR observation over comprehensive terrain scene is developed based on the mapping and projection principles. It incorporates penetrable and impenetrable objects, volumetric and surface scatterers in the imaging space with the extinction, attenuation, shadowing and multiple scattering effects. Scattering of the vegetation canopy is modeled as a layer of random non-spherical particles by using the vector radiative transfer model. Scattering from the ground surface and building objects is calculated by using the IEM rough surface model. As an example, the polarimetric SAR images for a virtual terrain scene, composed by tree canopies, farmland, buildings, rough land surface, hills and rivers, are simulated.
Keywords :
geophysical signal processing; radar imaging; radar polarimetry; remote sensing by radar; synthetic aperture radar; terrain mapping; vegetation; IEM rough surface model; buildings; farmland; ground surface objects; hills; multiple scattering effects; polarimetric image simulation; radiative transfer model; random nonspherical particles; rivers; rough land surface; shadowing; space image; surface attenuation; surface extinction; surface scatterers; synthetic-aperture radar observation; terrain scene mapping; tree canopies; vegetation canopy; Attenuation; Land surface; Layout; Particle scattering; Projection algorithms; Radar polarimetry; Rough surfaces; Shadow mapping; Surface roughness; Terrain mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-9510-7
DOI :
10.1109/IGARSS.2006.107