THANTD: Triplet Hybrid Attention Network for Hyperspectral Target Detection

THANTD: Triplet Hybrid Attention Network for Hyperspectral Target Detection

Hyperspectral images (HSIs), characterized by their rich spatial–spectral information, have been widely utilized in hyperspectral target detection (HTD), a key area within hyperspectral remote sensing information processing. In recent years, deep learning has made significant progress in...

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Bibliographic Details
Main Authors: Ju Liu, Haoqian Wang, Xiangai Cheng, Zhongyang Xing, Zhongjie Xu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Deep learning
enhanced triplet-binary cross entropy loss (BCE loss) (ETB-loss)
hybrid attention network
hyperspectral target detection (HTD)
radiative transfer model (<named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <named-content content-type="math" xlink:type="simple"> <named-content content-type="math" xlink:type="simple"> <named-content content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX">$\text{R}^{2}\text{TM}$</tex-math> </inline-formula> </named-content> </named-content> </named-content> </named-content>)
Online Access:https://ieeexplore.ieee.org/document/10909508/
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