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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Xiaodian Zhang, Kun Gao, Junwei Wang, Pengyu Wang, Zibo Hu, Zhijia Yang, Xiaobin Zhao, Wei Li
Μορφή: Άρθρο
Γλώσσα:English
Έκδοση: MDPI AG 2024-02-01
Σειρά:Remote Sensing
Θέματα:
Διαθέσιμο Online:https://www.mdpi.com/2072-4292/16/4/718