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...

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Bibliografische gegevens

Hoofdauteurs:	Jiaping Zhong, Yunsong Li, Yanzi Shi, Weiying Xie, Paolo Gamba
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	IEEE 2026-01-01
Reeks:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Onderwerpen:	Graph and generative learning hyperspectral image (HSI) processing hyperspectral pansharpening super-resolution (SR) target detection
Online toegang:	https://ieeexplore.ieee.org/document/11426786/
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