Anomaly Detection Combined with Spectral Function Analysis in Hyperspectral Imagery
Authors
Xiaohan Zhang, Guang Yang, Yongbo Yang, Junhua Huang
Corresponding Author
Xiaohan Zhang
Available Online June 2016.
- DOI
- 10.2991/icamcs-16.2016.10How to use a DOI?
- Keywords
- Hyperspectral Imagery, Anomaly Detection, Spectral Function, Area under Spectral Profile
- Abstract
To improve the time performance of hyperspectral imagery anomaly detection, this paper proposes the conception of spectral function. Using the features of spectral function such as the area under spectral profile (AUSP), potential target pixels can be separated from background pixels. Then use the data of background area to carry out anomaly detection. In this way can we save time, increase algorithm running speed, and increase the performance of original detection algorithm. At last experiment is carried to verifying the efficiency of the method proposed in this paper.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xiaohan Zhang AU - Guang Yang AU - Yongbo Yang AU - Junhua Huang PY - 2016/06 DA - 2016/06 TI - Anomaly Detection Combined with Spectral Function Analysis in Hyperspectral Imagery BT - Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science PB - Atlantis Press SP - 42 EP - 46 SN - 2352-5401 UR - https://doi.org/10.2991/icamcs-16.2016.10 DO - 10.2991/icamcs-16.2016.10 ID - Zhang2016/06 ER -