Hyperspectral band selection with convolutional neural network

Rui Cai, Yuan Yuan, Xiaoqiang Lu

科研成果: 书/报告/会议事项章节会议稿件同行评审

8 引用 (Scopus)

摘要

Band selection is a kind of dimension reduction method, which tries to remove redundant bands and choose several pivotal bands to represent the entire hyperspectral image (HSI). Supervised band selection algorithms tend to perform well because of the introduction of prior information. However, The traditional methods are based on the entire image, without taking into account the differences in ground categories, and cannot figure out which band is discriminative for a specific category. In this paper, a supervised method is proposed based on the ground category with convolutional neural network (CNN). Firstly, we propose a structure called contribution map which can record discriminative feature location. Secondly, the contribution map is added to CNN to generate a new model called contribution map based CNN (CM-CNN). Thirdly, we apply CM-CNN for HSI classification with the whole bands. Then, we can get the contribution map which records discriminative bands location for each category. Finally, the contribution map guides us to select discriminative bands. We found that CM-CNN model can obtain a satisfactory classification result while preserving the position information of important bands. To verify the superiority of the proposed method, experiments are conducted on HSI classification. The results demonstrated the reliability of the proposed method in HSI classification.

源语言英语
主期刊名Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Proceedings
编辑Xilin Chen, Jian-Huang Lai, Nanning Zheng, Cheng-Lin Liu, Tieniu Tan, Jie Zhou, Hongbin Zha
出版商Springer Verlag
396-408
页数13
ISBN(印刷版)9783030033408
DOI
出版状态已出版 - 2018
已对外发布
活动1st Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2018 - Guangzhou, 中国
期限: 23 11月 201826 11月 2018

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
11259 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议1st Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2018
国家/地区中国
Guangzhou
时期23/11/1826/11/18

指纹

探究 'Hyperspectral band selection with convolutional neural network' 的科研主题。它们共同构成独一无二的指纹。

引用此