Empirical study of neighbourhood rough sets based band selection techniques for classification of hyperspectral images

Research article (IET Image Processing, 2019) · cited 11× · AI/ML
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Empirical study of neighbourhood rough sets based band selection techniques for classification of hyperspectral images

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Empirical study of neighbourhood rough sets based band selection techniques for classification of hyperspectral images is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Empirical study of neighbourhood rough sets based band selection techniques for classification of hyperspectral images. Retrieved May 24, 2026, from https://4ort.xyz/entity/empirical-study-of-neighbourhood-rough-sets-based-band-selection-techniques-for-classification-of-hyperspectral-images
MLA “Empirical study of neighbourhood rough sets based band selection techniques for classification of hyperspectral images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/empirical-study-of-neighbourhood-rough-sets-based-band-selection-techniques-for-classification-of-hyperspectral-images.
BibTeX @misc{4ortxyz_empirical-study-of-neighbourhood-rough-sets-based-band-selection-techniques-for-classification-of-hyperspectral-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Empirical study of neighbourhood rough sets based band selection techniques for classification of hyperspectral images}}, year = {2026}, url = {https://4ort.xyz/entity/empirical-study-of-neighbourhood-rough-sets-based-band-selection-techniques-for-classification-of-hyperspectral-images}, note = {Accessed: 2026-05-24}}
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