@inproceedings{8a330ba35433418ba8a28b436aa35521,
title = "Knowledge Transfer-Based Multiple Data Sets Collaborative Analysis for Hyperspectral Band Selection",
abstract = "The paper presents a knowledge transfer based collaborative analysis method for hyperspectral band selection. This collaborative analysis method establishes different band selection tasks for multiple data sets, cooperatively analyzes the shared spectral spatial structure between hyperspectral data sets, so as to improve the performance of band selection tasks for each data set. The transfer probability is adjusted dynamically to realize spectral knowledge transfer effectively and improve the cooperation ability of collaborative analysis. Experiments indicate that the proposed collaborative analysis method works more efficiently than the comparison methods.",
keywords = "Band selection, Collaborative analysis, Evolutionary multitasking optimization, Hyperspectral images, Knowledge transfer",
author = "Jiao Shi and Xi Zhang and Zeping Zhang and Xiaoyang Li and Deyun Zhou and Yu Lei",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 7th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2021 ; Conference date: 07-11-2021 Through 08-11-2021",
year = "2021",
doi = "10.1109/CCIS53392.2021.9754661",
language = "英语",
series = "Proceedings of 2021 7th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "94--98",
editor = "Deyi Li and Mengqi Zhou and Weining Wang and Yaru Zou and Meng Luo and Qian Zhang",
booktitle = "Proceedings of 2021 7th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2021",
}