Comparing the performance of SAR image segmentation algorithms
作者:
L. M. DELVES,
R. WILKINSON,
C. J. OLIVER,
R. G. WHITE,
期刊:
International Journal of Remote Sensing
(Taylor Available online 1992)
卷期:
Volume 13,
issue 11
页码: 2121-2149
ISSN:0143-1161
年代: 1992
DOI:10.1080/01431169208904257
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
A primary stage in the analysis of Synthetic Aperture Radar (and other) images, is to produce a segmentation of the image; that is, a division into sub-regions each, hopefully, representing a single object: a field, hedge, wood etc. Producing such a segmentation is made difficult by the high level of speckle inherent in SAR images, and a number of segmentation techniques have been developed. We describe here a methodology for providing objective tests of segmentation algorithms and give representative resulls for one such algorithm.
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