Title :
Validation of segmentation techniques for SAR images
Author :
Preston, M.I. ; Queg, S.
Author_Institution :
Centre for Earth Obs. Sci., Sheffield Univ., UK
Abstract :
Segmentation is a vital technique in describing the structure of SAR images and in combating the effects of speckle that dominate such images. The performances of five segmentation algorithms are assessed and compared using real and simulated SAR data. The `best´ algorithm is sought using objective measures based on segment homogeneity and shape measures. These measures are compared to theoretical values and visual impressions of the images
Keywords :
geophysical signal processing; geophysical techniques; image segmentation; radar imaging; remote sensing by radar; speckle; synthetic aperture radar; SAR image; SAR imaging; algorithm; geophysical measurement technique; image segmentation; land surface; radar remote sensing; segment homogeneity; shape measure; speckle; synthetic aperture radar; terrain mapping; validation; Annealing; Buildings; Geoscience; Ice; Image segmentation; Merging; Probability; Shape measurement; Speckle; Testing;
Conference_Titel :
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN :
0-7803-3836-7
DOI :
10.1109/IGARSS.1997.615252
