Title :
Super-Resolution of Polarimetric SAR Images Based on Target Decomposition and Polarimetric Spatial Correlation
Author :
Zou, Bin ; Hao, Huijun ; Guo, Xingjie
Author_Institution :
Dept. of Inf. Eng., Harbin Inst. of Technol., Harbin
Abstract :
Polarimetric SAR (PolSAR) is becoming more and more popular in remote sensing research area. Super-resolution processing of PolSAR image is usually desired for PolSAR image applications, such as image interpretation and target detection. Usually in a PolSAR image, each resolution contains several different scattering mechanisms. If these mechanisms can be allocated to different parts in one resolution cell, the details of the images can be enhanced, which means the resolution of the images is improved. In this paper, a new super-resolution algorithm for PolSAR image processing is proposed, in which target decomposition and polarimetric spatial correlation are both taken into consideration. Results of ESAR L-band full polarized images have validated the effectiveness of the proposed method.
Keywords :
image processing; object detection; radar polarimetry; remote sensing by radar; synthetic aperture radar; PolSAR image applications; image interpretation; image processing; polarimetric SAR images; polarimetric spatial correlation; remote sensing research; scattering mechanisms; super-resolution algorithm; synthetic aperture radar; target decomposition; target detection; Covariance matrix; Image processing; Image resolution; Matrix decomposition; Object detection; Optical scattering; Polarization; Remote sensing; Signal resolution; Spatial resolution; Polarimetric SAR (PolSAR); spatial correlation; superresolution; target decomposition;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
DOI :
10.1109/IGARSS.2008.4779143
