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A Scalable Reduced-Complexity Compression of Hyperspectral Remote Sensing Images Using Deep Learning.

, , , , , and . Remote. Sens., 15 (18): 4422 (September 2023)

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JPEG2000 ROI Coding With Fine-Grain Accuracy Through Rate-Distortion Optimization Techniques., , and . IEEE Signal Process. Lett., 16 (1): 45-48 (2009)Divide-and-Conquer Strategies for Hyperspectral Image Processing: A Review of Their Benefits and Advantages., , , and . IEEE Signal Process. Mag., 29 (3): 71-81 (2012)Removing Data Dependencies in the CCSDS 123.0-B-2 Predictor Weight Updating., , , , , , and . IEEE Geosci. Remote. Sens. Lett., (2024)A Lightweight Contextual Arithmetic Coder for On-Board Remote Sensing Data Compression., , , , , and . IEEE Trans. Geosci. Remote. Sens., 55 (8): 4825-4835 (2017)Effects of JPEG and JPEG2000 Lossy Compression on Remote Sensing Image Classification for Mapping Crops and Forest Areas., , , , , and . IGARSS, page 790-793. IEEE, (2006)Redundancy and Optimization of tANS Entropy Encoders., , , and . IEEE Trans. Multim., (2021)IQUAFLOW: A new framework to measure image quality., , , , , , , , , and 3 other author(s). CoRR, (2022)A Novel Rate-Control for Predictive Image Coding With Constant Quality., , , and . IEEE Access, (2019)Neural Networks in Digital Data Transmission., and . IWANN, volume 930 of Lecture Notes in Computer Science, page 1121-1127. Springer, (1995)Review of Coding Techniques Applied to Remote Sensing., , , , and . KES, volume 3213 of Lecture Notes in Computer Science, page 647-653. Springer, (2004)