Title :
Land cover classification using SAR: a comparison of the segmentation and filtering approaches
Author :
Caves, Ronald G. ; Quegan, Shaun
Author_Institution :
Centre for Earth Obs. Sci., Sheffield Univ., UK
Abstract :
Two approaches to reducing speckle in synthetic aperture radar (SAR) images are compared using, the gamma maximum a posteriori filter and a segmentation algorithm based on an iterative process of multi-scale edge detection and segment growing. The two methods are applied to an ERS-1 SAR image of an agricultural scene. The smoothed images and edge maps are compared for the degree and homogeneity of smoothing, and for feature preservation
Keywords :
agriculture; digital filters; geophysical signal processing; geophysical techniques; image classification; image segmentation; radar applications; radar imaging; remote sensing by radar; spaceborne radar; speckle; synthetic aperture radar; SAR image classification; agricultural land; crops; edge map; feature preservation; filtering; gamma maximum a posteriori filter; geophysical measurement technique; image segmentation; iterative process; land surface; multi-scale edge detection; remote sensing; segment growing; smoothed image; speckle reduction; synthetic aperture radar; terrain mapping; vegetation mapping; Filtering; Filters; Image edge detection; Image segmentation; Iterative algorithms; Iterative methods; Layout; Pixel; Smoothing methods; Spaceborne radar; Speckle; Synthetic aperture radar;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location :
Firenze
Print_ISBN :
0-7803-2567-2
DOI :
10.1109/IGARSS.1995.521093
