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Super-Resolution Reconstruction of Remote Sensing Images Using Chaotic Mapping to Optimize Sparse Representation

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Current super-resolution algorithms exhibit limitations when processing noisy remote sensing images rich in surface information. as they tend to amplify noise during the recovery of high-frequency signals. To mitigate this issue. this paper presents a novel approach that incorporates the concept of compressed sensing and explores the super-resolution problem of remote sensing images f... https://thebrickes.shop/product-category/remote-control/
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