Target Detection Adapting to Spectral Variability in Multi-Temporal Hyperspectral Images Using Implicit Contrastive Learning
Hyperspectral target detection (HTD) is a crucial aspect of remote sensing applications, aiming to identify targets in hyperspectral images (HSIs) based on their known prior spectral signatures. However, the spectral variability resulting from various imaging conditions in multi-temporal hyperspectr...
主要な著者: | , , , , , , , |
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フォーマット: | 論文 |
言語: | English |
出版事項: |
MDPI AG
2024-02-01
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シリーズ: | Remote Sensing |
主題: | |
オンライン・アクセス: | https://www.mdpi.com/2072-4292/16/4/718 |