HyperNet: Self-Supervised Hyperspectral Spatial–Spectral Feature Understanding Network for Hyperspectral Change Detection

Author:

Hu Meiqi1,Wu Chen1ORCID,Zhang Liangpei1ORCID

Affiliation:

1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

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

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1. Change detection of multisource remote sensing images: a review;International Journal of Digital Earth;2024-09-09

2. GlobalMind: Global multi-head interactive self-attention network for hyperspectral change detection;ISPRS Journal of Photogrammetry and Remote Sensing;2024-05

3. Spectral-Spatial Subspace Detection for Improved Change Detection in Hyperspectral Images;2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE);2024-04-25

4. A dual-branch siamese spatial-spectral transformer attention network for Hyperspectral Image Change Detection;Expert Systems with Applications;2024-03

5. Progressive pseudo-label framework for unsupervised hyperspectral change detection;International Journal of Applied Earth Observation and Geoinformation;2024-03

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