Siamese Transformer Network for Hyperspectral Image Target Detection-Reference-Cited by-同舟云学术

Siamese Transformer Network for Hyperspectral Image Target Detection

Published:2022 Issue: Volume:60 Page:1-19
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Rao Weiqiang¹^ORCID,Gao Lianru¹^ORCID,Qu Ying²^ORCID,Sun Xu¹^ORCID,Zhang Bing³^ORCID,Chanussot Jocelyn⁴^ORCID

Affiliation:

1. Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

2. Department of Electrical Engineering and Computer Science, Advanced Imaging and Collaborative Information Processing Group, University of Tennessee, Knoxville, TN, USA

3. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China

4. LJK, Université Grenoble Alpes, INRIA, CNRS, Grenoble INP, Grenoble, France

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09744033.pdf?arnumber=9744033

Reference66 articles.

1. Background Learning Based on Target Suppression Constraint for Hyperspectral Target Detection

2. Hyperspectral Image Denoising Employing a Spatial–Spectral Deep Residual Convolutional Neural Network

3. Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Random Walk and Deep CNN Architecture

4. Data Augmentation for Hyperspectral Image Classification With Deep CNN

5. Information Fusion for Classification of Hyperspectral and LiDAR Data Using IP-CNN

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