基于联合域滤波的无人机载SAR图像块效应抑制方法

doi:10.12305/j.issn.1001-506X.2023.09.15

Abstract

Abstract:

To address the block effect problem caused by the block-based discrete cosine transform (DCT) compression method of the unmanned aerial vehicle (UAV) borne synthetic aperture radar (SAR) imaging system, a block effect suppression method based on joint domain filtering is proposed. This method first starts from the working principle of the UAV-borne SAR imaging system, introduces the compression processing process of SAR image on the UAV platform, analyzes the mechanism of generating the block effect, and then adds the block effect filtering processing method to the transformation domain and pixel domain of the SAR image decompression process at the ground end. The transformation domain adopts the "cross-type" transfer block filtering method, the pixel domain adopts the bilateral filtering method. Finally the purpose of suppressing the SAR image block effect is achieved by the joint domain filtering method. Experimental results show that under the same compression coefficient conditions, the proposed method can obtain better peak to signal noise ratio (PSNR) results than other filtering methods, reduce the distortion effect of the UAV-borne SAR image due to image compression, and have strong block effect inhibition ability.

Key words: unmanned aerial vehicle (UAV), synthetic aperture radar (SAR) image, block effect, discrete cosine transform (DCT)

CLC Number:

TN958.98

Zhongbao WANG, Kuiying YIN. Block effect suppression method of UAV-borne SAR image based on joint domain filtering[J]. Systems Engineering and Electronics, 2023, 45(9): 2768-2776.

Figures/Tables 9

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Block effect suppression method of UAV-borne SAR image based on joint domain filtering

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