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Proceedings Paper

Variational method of speckle reduction and boundary detection in SAR imagery
Author(s): Zhipeng Xia; Xiaona Tang; Fang Li; Guixu Zhang
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Paper Abstract

Synthetic Aperture Radar (SAR) images have been widely used in remote sensing applications. However, the SAR image contains speckle noise. In this paper, we propose a variational method to delineate the boundary of objects in SAR images. It is implemented by two steps: The first step is speckle reduction and the second step is boundary detection. The two steps are implemented with a unified frame of energy minimization. In each step, we define an energy functional, and the corresponding minimizer of the functional is regarded as the result. An ERS-2 PRecision Image (PRI) over Proserpine area in Australia is used to demonstrate the algorithm. The results of both steps appear to be very promising.

Paper Details

Date Published: 7 November 2008
PDF: 8 pages
Proc. SPIE 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, 714715 (7 November 2008); doi: 10.1117/12.813242
Show Author Affiliations
Zhipeng Xia, East China Normal Univ. (China)
Xiaona Tang, East China Normal Univ. (China)
Fang Li, East China Normal Univ. (China)
Guixu Zhang, East China Normal Univ. (China)


Published in SPIE Proceedings Vol. 7147:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images

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