A Spectral Convolutional Neural Network Model Based on Adaptive Fick’s Law for Hyperspectral Image Classification

Hyperspectral image classification stands as a pivotal task within the field of remote sensing, yet achieving high-precision classification remains a significant challenge. In response to this challenge, a Spectral Convolutional Neural Network model based on Adaptive Fick’s Law Algorithm (AFLA-SCNN)...

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Veröffentlicht in:	Computers, materials & continua Jg. 79; H. 1; S. 19 - 46
Hauptverfasser:	Wu, Tsu-Yang, Li, Haonan, Kumari, Saru, Chen, Chien-Ming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Henderson Tech Science Press 2024
Schlagworte:	Accuracy Algorithms Artificial neural networks Classification Datasets Evolutionary computation Heuristic methods Hyperspectral imaging Image classification Mutation Neural networks Optimization Performance enhancement Remote sensing Support vector machines
ISSN:	1546-2226, 1546-2218, 1546-2226
Online-Zugang:	Volltext
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