A simulated annealing band selection approach for hyperspectral imagery

Jyh Perng Fang; Yang-Lang Chang; Hsuan Ren; Chun-Chieh Lin; Wen-Yew Liang; Jwei-Fei Fang

doi:10.1117/12.685683

25 October 2006 A simulated annealing band selection approach for hyperspectral imagery

Jyh Perng Fang, Yang-Lang Chang, Hsuan Ren, Chun-Chieh Lin, Wen-Yew Liang, Jwei-Fei Fang

Proceedings Volume 6378, Chemical and Biological Sensors for Industrial and Environmental Monitoring II; 63781G (2006) https://doi.org/10.1117/12.685683
Event: Optics East 2006, 2006, Boston, Massachusetts, United States

Abstract

For hyperspectral imagery, greedy modular eigenspaces (GME) has been developed by clustering highly correlated hyperspectral bands into a smaller subset of band modules based on greedy algorithm. Instead of greedy paradigm as adopted in GME approach, this paper introduces a simulated annealing band selection (SABS) approach for hyperspectral imagery. SABS selects sets of non-correlated hyperspectral bands for hyperspectral images based on simulated annealing (SA) algorithm while utilizing the inherent separability of different classes in hyperspectral images to reduce dimensionality and further to effectively generate a unique simulated annealing module eigenspace (SAME) feature. The proposed SABS features: (1) avoiding the bias problems of transforming the information into linear combinations of bands as does the traditional principal components analysis (PCA); (2) selecting each band by a simple logical operation, call SAME feature scale uniformity transformation (SAME/FSUT), to include different classes into the most common feature clustered subset of bands; (3) providing a fast procedure to simultaneously select the most significant features according to SA scheme. The experimental results show that our proposed SABS approach is effective and can be used as an alternative to the existing band selection algorithms.

Citation Download Citation

Jyh Perng Fang, Yang-Lang Chang, Hsuan Ren, Chun-Chieh Lin, Wen-Yew Liang, and Jwei-Fei Fang "A simulated annealing band selection approach for hyperspectral imagery", Proc. SPIE 6378, Chemical and Biological Sensors for Industrial and Environmental Monitoring II, 63781G (25 October 2006); https://doi.org/10.1117/12.685683

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available