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...

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Hauptverfasser:	Xiaodian Zhang, Kun Gao, Junwei Wang, Pengyu Wang, Zibo Hu, Zhijia Yang, Xiaobin Zhao, Wei Li
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2024-02-01
Schriftenreihe:	Remote Sensing
Schlagworte:	hyperspectral target detection remote sensing spectral variability multi-temporal hyperspectral images
Online-Zugang:	https://www.mdpi.com/2072-4292/16/4/718
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