Adversarial Domain Adaptation Network With Calibrated Prototype and Dynamic Instance Convolution for Hyperspectral Image Classification-Reference-Cited by-同舟云学术

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Adversarial Domain Adaptation Network With Calibrated Prototype and Dynamic Instance Convolution for Hyperspectral Image Classification

Published:2024 Issue: Volume:62 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Huang Yi¹,Peng Jiangtao¹^ORCID,Zhang Genwei²,Sun Weiwei³^ORCID,Chen Na¹,Du Qian⁴^ORCID

Affiliation:

1. Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China

2. State Key Laboratory of NBC Protection for Civilian, Beijing, China

3. Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China

4. Department of Electrical and Computer Engineering, Mississippi State University, Mississippi State, MS, USA

Funder

National Natural Science Foundation of China

Zhejiang Province “Pioneering Soldier” and “Leading Goose” Research and Development Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10497695.pdf?arnumber=10497695

Reference56 articles.

1. Remote sensing applications: An overview;Navalgund;Current Sci.,2007

2. Local Manifold Learning-Based $k$ -Nearest-Neighbor for Hyperspectral Image Classification

3. Classification of hyperspectral remote sensing images with support vector machines

4. HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification

5. Unsupervised Feature Extraction in Hyperspectral Images Based on Wasserstein Generative Adversarial Network

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Distribution-Aware and Class-Adaptive Aggregation for Few-Shot Hyperspectral Image Classification;IEEE Transactions on Geoscience and Remote Sensing;2024

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