Multi-stage iterative compressed sensing framework based on DIFF transformer and ISTA for remote sensing images

In remote sensing applications, image storage and compression require large amounts of memory and consume a lot of battery power. Compressed sensing (CS) can alleviate these problems while shifting the complexity to the decoding end. However, existing methods still face limitations, such as attentio...

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Bibliographic Details
Published in:	Scientific reports Vol. 15; no. 1; pp. 38521 - 15
Main Authors:	Wang, Rongrong, Fang, Yong
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 04.11.2025 Nature Publishing Group Nature Portfolio
Subjects:	704/2151 704/4111 Algorithms Compressed sensing Compression Convex analysis Deep learning DIFF transformer Humanities and Social Sciences Image reconstruction ISTA Methods multidisciplinary Optimization Remote sensing Sampling Science Science (multidisciplinary) Signal processing DIFF transformer ISTA Compressed sensing Image reconstruction Remote sensing
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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