Spectral-Spatial Evidential Learning Network for Open-Set Hyperspectral Image Classification-Reference-Cited by-同舟云学术

Spectral-Spatial Evidential Learning Network for Open-Set Hyperspectral Image Classification

Published:2024 Issue: Volume:62 Page:1-17
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Ji Fengcheng¹^ORCID,Zhao Wenzhi¹^ORCID,Wang Qiao¹,Emery William J.²^ORCID,Peng Rui¹^ORCID,Man Yuanbin³,Wang Guoqiang¹,Jia Kun¹^ORCID

Affiliation:

1. Innovation Research Center of Satellite Application (IRCSA) and the State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing, China

2. Colorado Center for Astrodynamics Research, University of Colorado, Boulder, CO, USA

3. Alibaba DAMO Academy, Hangzhou, China

Funder

National Natural Science Foundation of China

National Nature Science Foundation of China Major Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10379821.pdf?arnumber=10379821

Reference66 articles.

1. Hyperspectral Data Exploitation

2. Classification of Hyperspectral Images Based on Multiclass Spatial–Spectral Generative Adversarial Networks

3. Hyperspectral Intrinsic Image Decomposition With Enhanced Spatial Information

4. Hyperspectral Image Instance Segmentation Using Spectral–Spatial Feature Pyramid Network

5. Texture-aware total variation-based removal of sun glint in hyperspectral images

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