Researching | Hyperspectral Band Selection Based on Spectral Clustering and Inter-Class Separability Factor

Spectroscopy and Spectral Analysis, Volume. 35, Issue 5, 1357(2015)

Hyperspectral Band Selection Based on Spectral Clustering and Inter-Class Separability Factor

QIN Fang-pu^1,2、*, ZHANG Ai-wu^1,2, WANG Shu-min³, MENG Xian-gang^1,2, HU Shao-xing⁴, and SUN Wei-dong⁵

Author Affiliations

¹[in Chinese]

²[in Chinese]

³[in Chinese]

⁴[in Chinese]

⁵[in Chinese]

show less

Abstract Get PDF

Figures&Tables (0)

Paper Information

References(2)

[10] [10] Von Luxburg U.Statistics and Computing,2007,17(4):395.

[11] [11] Peng H,Long F,Ding C.IEEE Transactions on Pattern Analysis and Machine Intelligence,2005,27(8):1226.

CLP Journals

[1] Zhang Aiwu, Kang Xiaoyan. Hyperspectral images band selection algorithm through p-value statistic modeling independence[J]. Infrared and Laser Engineering, 2018, 47(9): 926005

[2] Wang Qi, Yang Guang, Zhang Jianfeng, Xiang Yingjie. Band Selection Based on Local Joint Skewness and Kurtosis for Hyperspectral Image[J]. Laser & Optoelectronics Progress, 2017, 54(11): 111004

Tools

Get Citation

Copy Citation Text

QIN Fang-pu, ZHANG Ai-wu, WANG Shu-min, MENG Xian-gang, HU Shao-xing, SUN Wei-dong. Hyperspectral Band Selection Based on Spectral Clustering and Inter-Class Separability Factor[J]. Spectroscopy and Spectral Analysis, 2015, 35(5): 1357

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Received: Apr. 13, 2014

Accepted: --

Published Online: May. 26, 2015

The Author Email: Fang-pu QIN (qinfp2013@126.com)

DOI:10.3964/j.issn.1000-0593(2015)05-1357-08

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology