Title :
An improved method of speckle filtering in SAR image based on structure detection
Author :
Cheng-li, Jia ; Gui, Gao ; Gang-yao, Kuang ; Wen-xian, Yu
Author_Institution :
Coll. of Electron. Sci. & Eng., Nat. Univ. of Defence Technol., Changsha, China
Abstract :
This paper presents an improved method of speckle filtering in SAR image based on structure detection to solve some problems of the Lopes´ structure detection and statistical adaptive speckle filtering. The method uses the probability iterative to segment SAR image and detect the edges, then combines the strong scatterer detection result to label the SAR image as structure area and non-structure area. In non-structure area, the Lee filter is used, and in the structure area, the intensity of the image is preserved. Experimental results with RADARSAT images verify the practicability and the advantage of the improved method.
Keywords :
adaptive filters; edge detection; filtering theory; image segmentation; iterative methods; radar imaging; speckle; statistical analysis; synthetic aperture radar; Lee filter; Lope structure detection; SAR image segmentation; edge detection; image intensity; iterative method; probability method; scatterer detection; statistical adaptive speckle filtering; Adaptive filters; Detectors; Educational institutions; Filtering; Frequency; Image edge detection; Radar detection; Radar scattering; Smoothing methods; Speckle;
Conference_Titel :
Robotics, Intelligent Systems and Signal Processing, 2003. Proceedings. 2003 IEEE International Conference on
Print_ISBN :
0-7803-7925-X
DOI :
10.1109/RISSP.2003.1285698