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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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