Variational method of speckle reduction and boundary detection in SAR imagery

Zhipeng Xia; Xiaona Tang; Fang Li; Guixu Zhang

doi:10.1117/12.813242

7 November 2008 Variational method of speckle reduction and boundary detection in SAR imagery

Zhipeng Xia, Xiaona Tang, Fang Li, Guixu Zhang

Proceedings Volume 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images; 714715 (2008) https://doi.org/10.1117/12.813242
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

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.

Citation Download Citation

Zhipeng Xia, Xiaona Tang, Fang Li, and Guixu Zhang "Variational method of speckle reduction and boundary detection in SAR imagery", Proc. SPIE 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, 714715 (7 November 2008); https://doi.org/10.1117/12.813242

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