Research on deep learning models for hyperspectral image classification

doi:10.11947/j.AGCS.2023.20210203

Acta Geodaetica et Cartographica Sinica ›› 2023, Vol. 52 ›› Issue (1): 172-172.doi: 10.11947/j.AGCS.2023.20210203

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Research on deep learning models for hyperspectral image classification

PU Shengliang^1,2

1. Key Laboratory of Mine Environment Nonitoring and Improving around Poyang Lake, Ministry of Natural Resources, Nandrang 330013, China;
2. Faculty of Geomatics, East China University of Technology, Nanchang 330013, China

Received:2021-04-19 Published:2023-02-09

Abstract

CLC Number:

P232

PU Shengliang. Research on deep learning models for hyperspectral image classification[J]. Acta Geodaetica et Cartographica Sinica, 2023, 52(1): 172-172.

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Research on deep learning models for hyperspectral image classification

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