A Band Selection Method for Hyperspectral Image Based on Binary Coded Hybrid Rice Optimization Algorithm-Reference-Cited by-同舟云学术

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A Band Selection Method for Hyperspectral Image Based on Binary Coded Hybrid Rice Optimization Algorithm

Published:2021-09-22 Issue: Volume: Page:
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Container-title:2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)
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Author:

Ye Zhiwei,Liu Shiqin,Zong Xinlu,Shu Zhe,Xia Xiaoyu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9660827/9660390/09661017.pdf?arnumber=9661017

Reference18 articles.

1. A survey on feature selection methods

2. Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean stems

3. Feature Selection Method for Classifying Hyper Spectral Image Based On Particle Swarm Optimization

4. Binary cuckoo search algorithm for band selection in hyperspectral image classification;medjahed;IAENG International Journal of Computer Science,2015

5. Gray Wolf Optimizer for hyperspectral band selection

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. Dimensionality reduction strategies for land use land cover classification based on airborne hyperspectral imagery: a survey;Environmental Science and Pollution Research;2022-11-25

2. A Band Selection Approach for Hyperspectral Image Based on a Modified Hybrid Rice Optimization Algorithm;Symmetry;2022-06-22

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