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...

詳細記述

書誌詳細
主要な著者: Xiaodian Zhang, Kun Gao, Junwei Wang, Pengyu Wang, Zibo Hu, Zhijia Yang, Xiaobin Zhao, Wei Li
フォーマット: 論文
言語:English
出版事項: MDPI AG 2024-02-01
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