A Decision Fusion method to Interpret Faults using Multi-Source Remote Sensing Data
Authors
Li Xue, Wang Qiuliang, Chen Zhoufeng, Qi Xin, SHAO Changsheng
Corresponding Author
Li Xue
Available Online August 2013.
- DOI
- 10.2991/rsete.2013.155How to use a DOI?
- Keywords
- Multi-source; Faults; Decision Fusion; Spectrum Feature; Morphological Feature
- Abstract
This paper summarizes the different interpretation methods using remote sensing data to detect Faults. As different data sources have respective advantages in the extraction of structural information, the paper proposes a decision fusion method to interpret faults using the ETM+ images, SPOT5 images and DEM data. The experiments show the effectiveness of the method. The research provides the basis for regional geological surveys and crustal stability assessment.
- Copyright
- © 2013, 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 - Li Xue AU - Wang Qiuliang AU - Chen Zhoufeng AU - Qi Xin AU - SHAO Changsheng PY - 2013/08 DA - 2013/08 TI - A Decision Fusion method to Interpret Faults using Multi-Source Remote Sensing Data BT - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013) PB - Atlantis Press SP - 639 EP - 642 SN - 1951-6851 UR - https://doi.org/10.2991/rsete.2013.155 DO - 10.2991/rsete.2013.155 ID - Xue2013/08 ER -