DocumentCode
314818
Title
Validation of segmentation techniques for SAR images
Author
Preston, M.I. ; Queg, S.
Author_Institution
Centre for Earth Obs. Sci., Sheffield Univ., UK
Volume
2
fYear
1997
fDate
3-8 Aug 1997
Firstpage
770
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/IGARSS.1997.615252
Filename
615252
Link To Document