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