Detection of Sangeang Api Volcanic Ash Cloud Based on VBICA-SVM method

DOI

10.2991/ameii-15.2015.147How to use a DOI?

Keywords

Remote sensing image; Independent component analysis (ICA); Support vector machine (SVM); Volcanic ash cloud

Abstract

Volcanic ash cloud can threaten the safety of aviation transportation. The current detection of the volcanic ash cloud mainly depends on the remote sensing images. Independent component analysis (ICA) and support vector machine (SVM) have very strong complementary to each other in the volcanic ash cloud detection. Taking the moderate resolution imaging spectroradiometer (MODIS) images of Indonesia Sangeang Api volcanic ash clouds as data source on May 30, 2014, this paper propose the variable Bayesian ICA and SVM (VBICA-SVM) method for detection of the volcanic ash cloud, which is based on the analysis of the physical properties of volcanic ash cloud and the absorption spectral characteristics in the scope of thermal infrared bands. The result shows that the VBICA-SVM method can effectively detect the spatial distribution of the volcanic ash clouds, and has great potential applications in the ash cloud monitoring and disaster mitigation.

Copyright

© 2015, 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/).

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TY  - CONF
AU  - Jiangshan Dong
AU  - Chengfan Li
AU  - Jingyuan Yin
AU  - Junjuan Zhao
AU  - Dan Xue
PY  - 2015/04
DA  - 2015/04
TI  - Detection of Sangeang Api Volcanic Ash Cloud Based on VBICA-SVM method
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 782
EP  - 787
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.147
DO  - 10.2991/ameii-15.2015.147
ID  - Dong2015/04
ER  -