数据融合在SAR图像去噪中的应用

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Application of data fusion in SAR image denoising

SHENG Guo-fang1;LENG Zhao-xia2;JIAO Li-cheng1

(1. State Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an 710071, China; 2. Xi'an Univ. of Technology, Xi'an 710048, China)

Received:1900-01-01 Revised:1900-01-01 Online:2004-02-20 Published:2004-02-20

Abstract

Abstract: The CMAP filter based on the statistic feature of SAR image and the filter based on the wavelet transform show different characteristics in the application of SAR image denoising. The CMAP filter can reduce the influence of the speckle better, but the detail of the image in lost greatly. The wavelet transform can keep the detail of the image well, but the effect of reducing the speckle is not good. In this paper, we use the two results of these two filter methods according to a certain fusion rule. The experimental result shows that this method can reduce the influence of the speckle and keep the image detail well.

Key words: SAR, speckle, ENL, wavelet transform, data fusion

CLC Number:

TN957.51

SHENG Guo-fang1;LENG Zhao-xia2;JIAO Li-cheng1.

Application of data fusion in SAR image denoising

[J].J4, 2004, 31(1): 91-95.

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Application of data fusion in SAR image denoising

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