A Self-Improving Framework for Joint Depth Estimation and Underwater Target Detection from Hyperspectral Imagery

A Self-Improving Framework for Joint Depth Estimation and Underwater Target Detection from Hyperspectral Imagery

Underwater target detection (UTD) is one of the most attractive research topics in hyperspectral imagery (HSI) processing. Most of the existing methods are presented to predict the signatures of desired targets in an underwater context but ignore the depth information which is position-sensitive and...

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Bibliographic Details
Main Authors: Jiahao Qi, Pengcheng Wan, Zhiqiang Gong, Wei Xue, Aihuan Yao, Xingyue Liu, Ping Zhong
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
hyperspectral image (HSI)
self-improving
expectation-maximum
spectral and spatial contextual information
terminal condition
Online Access:https://www.mdpi.com/2072-4292/13/9/1721

Internet

https://www.mdpi.com/2072-4292/13/9/1721

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