A Novel Visual Saliency Guided High Resolution Remote Sensing Image Change Detection Algorithm

DOI

10.2991/iccsae-15.2016.57How to use a DOI?

Keywords

Visual Saliency, Remote Sensing, Change Detection, High Resolution Image.

Abstract

This paper presents a novel visual saliency guided high resolution remote sensing image change detection (CD) algorithm. This approach is based on closed-loop process made up of the three procedures. (1) Generating the difference image as the foundation for further processing; (2) Use the modified saliency extraction algorithm to select the regions with higher attractiveness; (3) Adopt the revised fuzzy clustering to finalize the real changed regions (RCR). Our algorithm could fuse the traditional change analysis patterns with the saliency prior which could enhance the overall efficiency. Experiments carried out on the different sets of high resolution multi-temporal images acquired by the satellite. The experimental result shows that our method could achieve better performance.

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/).

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TY  - CONF
AU  - Qigejian Wang
AU  - Xinyu Zhang
PY  - 2016/02
DA  - 2016/02
TI  - A Novel Visual Saliency Guided High Resolution Remote Sensing Image Change Detection Algorithm
BT  - Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
PB  - Atlantis Press
SP  - 300
EP  - 304
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccsae-15.2016.57
DO  - 10.2991/iccsae-15.2016.57
ID  - Wang2016/02
ER  -