Classification of Hyperspectral Images of Explosive Fragments Based on Spatial–Spectral Combination

Classification of Hyperspectral Images of Explosive Fragments Based on Spatial–Spectral Combination

The identification and recovery of explosive fragments can provide a reference for the evaluation of explosive power and the design of explosion-proof measures. At present, fragment detection usually uses a few bands in the visible light or infrared bands for imaging, without fully utilizing multi-b...

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Bibliographic Details
Main Authors: Donge Zhao, Peiyun Yu, Feng Guo, Xuefeng Yang, Yayun Ma, Changli Wang, Kang Li, Wenbo Chu, Bin Zhang
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Sensors
Subjects:
hyperspectral image classification
fragments detection
convolutional neural network–bidirectional long short-term memory network
u-shaped network
spatial–spectral combination
Online Access:https://www.mdpi.com/1424-8220/24/22/7131
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