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Semantic modeling of hyperspectral target detection with weak labels

  • Published:2023-08 Issue: Volume:209 Page:109016
  • ISSN:0165-1684
  • Container-title:Signal Processing
  • language:en
  • Short-container-title:Signal Processing

Author:

Jiao ChangzheORCID,Yang Bo,Liu LirongORCID,Chen Chao,Chen Xiaoying,Yang Wensha,Jiao Licheng

Funder

Xidian University

Key Research and Development Projects of Shaanxi Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference62 articles.

1. Hyperspectral image data analysis;Landgrebe;IEEE Signal Process. Mag.,2002

2. Hyperspectral remote sensing data analysis and future challenges;Bioucas-Dias;IEEE Geosci. Remote Sens. Mag.,2013

3. Simultaneous spectral-spatial feature selection and extraction for hyperspectral images;Zhang;IEEE Trans. Cybern.,2018

4. Feature extraction for hyperspectral imagery: the evolution from shallow to deep: overview and toolbox;Rasti;IEEE Geosci. Remote Sens. Mag.,2020

5. Spectral unmixing;Keshava;IEEE Signal Process. Mag.,2002

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hyperspectral Target Detection via Co-Teaching Multiple Instance Neural Network with Deterministic Annealing Algorithm;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

2. Multiple-Instance Metric Learning Network for Hyperspectral Target Detection;IEEE Transactions on Geoscience and Remote Sensing;2023
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