Share Email Print
cover

Proceedings Paper

Improved ISOMAP algorithm for anomaly detection in hyperspectral images
Author(s): Liangliang Wang; Zhiyong Li; Jixiang Sun
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

In this paper, ISOMAP algorithm is applied into anomaly detection on the basis of feature analysis in hyperspectral images. Then an improved ISOMAP algorithm is developed against the limitation existed in ISOMAP algorithm. The improved ISOMAP algorithm selects neighborhood according to spectral angel, thus avoiding the instability of the neighborhood in the high-dimension spectral space. Experimental results show the effectiveness of the algorithm in improving the detection performance.

Paper Details

Date Published: 12 January 2012
PDF: 5 pages
Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 834902 (12 January 2012); doi: 10.1117/12.920078
Show Author Affiliations
Liangliang Wang, National Univ. of Defense Technology (China)
Zhiyong Li, National Univ. of Defense Technology (China)
Jixiang Sun, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 8349:
Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis
Zhu Zeng; Yuting Li, Editor(s)

© SPIE. Terms of Use
Back to Top