Comparative study of hyperspectral image classification by multidimensional Convolutional Neural Network approaches to improve accuracy

Research article (Expert Systems with Applications, 2021) · cited 59× · AI/ML
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Comparative study of hyperspectral image classification by multidimensional Convolutional Neural Network approaches to improve accuracy

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Comparative study of hyperspectral image classification by multidimensional Convolutional Neural Network approaches to improve accuracy is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Comparative study of hyperspectral image classification by multidimensional Convolutional Neural Network approaches to improve accuracy. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparative-study-of-hyperspectral-image-classification-by-multidimensional-convolutional-neural-network-approaches-to-i
MLA “Comparative study of hyperspectral image classification by multidimensional Convolutional Neural Network approaches to improve accuracy.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparative-study-of-hyperspectral-image-classification-by-multidimensional-convolutional-neural-network-approaches-to-i.
BibTeX @misc{4ortxyz_comparative-study-of-hyperspectral-image-classification-by-multidimensional-convolutional-neural-network-approaches-to-i_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparative study of hyperspectral image classification by multidimensional Convolutional Neural Network approaches to improve accuracy}}, year = {2026}, url = {https://4ort.xyz/entity/comparative-study-of-hyperspectral-image-classification-by-multidimensional-convolutional-neural-network-approaches-to-i}, note = {Accessed: 2026-05-24}}
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