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Lossless hyperspectral image compression using bimodal conventional recursive least-squares

Research article (Remote Sensing Letters, 2017) · cited 14× · AI/ML
academia openalex:W2766729876
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Lossless hyperspectral image compression using bimodal conventional recursive least-squares

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Lossless hyperspectral image compression using bimodal conventional recursive least-squares is a scholarly article[1].

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  • Lossless hyperspectral image compression using bimodal conventional recursive least-squares's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Lossless hyperspectral image compression using bimodal conventional recursive least-squares. Retrieved May 24, 2026, from https://4ort.xyz/entity/lossless-hyperspectral-image-compression-using-bimodal-conventional-recursive-least-squares
MLA “Lossless hyperspectral image compression using bimodal conventional recursive least-squares.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/lossless-hyperspectral-image-compression-using-bimodal-conventional-recursive-least-squares.
BibTeX @misc{4ortxyz_lossless-hyperspectral-image-compression-using-bimodal-conventional-recursive-least-squares_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Lossless hyperspectral image compression using bimodal conventional recursive least-squares}}, year = {2026}, url = {https://4ort.xyz/entity/lossless-hyperspectral-image-compression-using-bimodal-conventional-recursive-least-squares}, note = {Accessed: 2026-05-24}}
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