Improved ISOMAP algorithm for anomaly detection in hyperspectral images

Liangliang Wang; Zhiyong Li; Jixiang Sun

doi:10.1117/12.920078

11 January 2012 Improved ISOMAP algorithm for anomaly detection in hyperspectral images

Liangliang Wang, Zhiyong Li, Jixiang Sun

Proceedings Volume 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis; 834902 (2012) https://doi.org/10.1117/12.920078
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore

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.

Citation Download Citation

Liangliang Wang, Zhiyong Li, and Jixiang Sun "Improved ISOMAP algorithm for anomaly detection in hyperspectral images", Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 834902 (11 January 2012); https://doi.org/10.1117/12.920078

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