Fortifying Centers and Edges: Multidomain Feature Learning Meets Hyperspectral Image Classification-Reference-Cited by-同舟云学术

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Fortifying Centers and Edges: Multidomain Feature Learning Meets Hyperspectral Image Classification

Published:2024 Issue: Volume:62 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Shi Hao¹^ORCID,Zhang Youqiang²^ORCID,Cao Guo¹^ORCID,Yang Di³^ORCID

Affiliation:

1. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

2. School of Internet of Things and Jiangsu Key Laboratory of Broadband Wireless Communication and Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing, China

3. Wyoming Geographic Information Science Center, University of Wyoming, Laramie, WY, USA

Funder

Natural Science Foundation of Jiangsu Province

National Natural Science Foundation of China

Nature Science Research Project of Jiangsu Higher Education Institutions

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10493162.pdf?arnumber=10493162

Reference59 articles.

1. Morphological Transformation and Spatial-Logical Aggregation for Tree Species Classification Using Hyperspectral Imagery

2. Topological Structure and Semantic Information Transfer Network for Cross-Scene Hyperspectral Image Classification

3. Hyperspectral Image Classification With Multi-Attention Transformer and Adaptive Superpixel Segmentation-Based Active Learning

4. Estimating Soil Salinity Under Various Moisture Conditions: An Experimental Study

5. Deep Learning for Classification of Hyperspectral Data: A Comparative Review

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