A New SCAE-MT Classification Model for Hyperspectral Remote Sensing Images

Hyperspectral remote sensing images (HRSI) have the characteristics of foreign objects with the same spectrum. As it is difficult to label samples manually, the hyperspectral remote sensing images are understood to be typical “small sample” datasets. Deep neural networks can effectively extract the...

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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 22; no. 22; p. 8881
Main Authors:	Chen, Huayue, Chen, Ye, Wang, Qiuyue, Chen, Tao, Zhao, Huimin
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 17.11.2022 MDPI
Subjects:	Accuracy Automatic classification Classification Datasets Efficiency feature extraction HRSI Hyperspectral Imaging Image processing Machine learning Methods Neural networks Neural Networks, Computer Remote sensing small samples stacked convolutional autoencoder network transfer learning China HRSI transfer learning stacked convolutional autoencoder network feature extraction small samples
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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