Referenced Items are not available for this document.
We propose a new statistical model for SAR images. According to this model, the SAR image amplitude follows a product of Rayleigh and Bessel functions. We derive the maximum likelihood feature detector for extracting terrain features from synthetic aperture radar (SAR) images. The terrain features are classified as ridges and ravines according to their statistical properties and surrounding neighborhood. These salient features are used as constraints for estimating the SAR terrain surface
Published in:
Image Processing, 2000. Proceedings. 2000 International Conference on
(Volume:1
)
Date of Conference: 2000
- Page(s):
- 721 - 724 vol.1
- Meeting Date :
- 10 Sep 2000-13 Sep 2000
- ISSN :
- 1522-4880
- Print ISBN:
- 0-7803-6297-7
- INSPEC Accession Number:
- 6990942
- Conference Location :
- Vancouver, BC
- Digital Object Identifier :
- 10.1109/ICIP.2000.901060
- Product Type:
- Conference Publications
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