Enhancing RABASAR for Multi-Temporal SAR Image Despeckling through Directional Filtering and Wavelet Transform
Author:
Bu Lijing1, Zhang Jiayu1, Zhang Zhengpeng1, Yang Yin23, Deng Mingjun1
Affiliation:
1. School of Automation and Electronic Information, Xiangtan University, Xiangtan 411105, China 2. School of Mathematics and Computational Science, Xiangtan University, Xiangtan 411105, China 3. National Center for Applied Mathematics in Hunan Laboratory, Xiangtan 411105, China
Abstract
The presence of speckle noise severely hampers the interpretability of synthetic aperture radar (SAR) images. While research on despeckling single-temporal SAR images is well-established, there remains a significant gap in the study of despeckling multi-temporal SAR images. Addressing the limitations in the acquisition of the “superimage” and the generation of ratio images within the RABASAR despeckling framework, this paper proposes an enhanced framework. This enhanced framework proposes a direction-based segmentation approach for multi-temporal SAR non-local means filtering (DSMT-NLM) to obtain the “superimage”. The DSMT-NLM incorporates the concept of directional segmentation and extends the application of the non-local means (NLM) algorithm to multi-temporal images. Simultaneously, the enhanced framework employs a weighted averaging method based on wavelet transform (WAMWT) to generate superimposed images, thereby enhancing the generation process of ratio images. Experimental results demonstrate that compared to RABASAR, Frost, and NLM, the proposed method exhibits outstanding performance. It not only effectively removes speckle noise from multi-temporal SAR images and reduces the generation of false details, but also successfully achieves the fusion of multi-temporal information, aligning with experimental expectations.
Funder
National Key R&D Program of China Project of Department of Science and Technology of Hunan Province Research Foundation of the Department of Natural Resources of Hunan Province
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
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