Spatial-Spectral Correlation Network With Super-Resolution Learning for Hyperspectral Target Detection

Hyperspectral target detection (HTD) aims at extracting targets from complex backgrounds while overcoming noise interference. Existing deep learning models for HTD usually suffer from low spatial resolution and unitary representation, especially in spaceborne platforms. Super-resolution, as a critic...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Jiaping Zhong, Yunsong Li, Yanzi Shi, Weiying Xie, Paolo Gamba
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2026-01-01
Schriftenreihe:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Schlagworte:	Graph and generative learning hyperspectral image (HSI) processing hyperspectral pansharpening super-resolution (SR) target detection
Online-Zugang:	https://ieeexplore.ieee.org/document/11426786/
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