Research on an Object Oriented Change Detection Algorithm

DOI

10.2991/icsmim-15.2016.75How to use a DOI?

Keywords

Objected oriented, Change detection, Multi-temporal, Image segmentation, Similarity

Abstract

An object oriented change detection algorithm for multi-temporal remote sensing image is proposed in this study. Bi-temporal remote sensing images are firstly processed by multi-scale segmentation. Then similarity between the target object and its neighboring object is calculated by using a formula of similarity calculation. Optimal threshold is selected by using K means clustering method to estimate whether the two images has similarity. Finally change between the target object and its neighboring object is determined by comparison of similarity and threshold. Our experimental results demonstrate that the proposed algorithm can realize change detection of multi-temporal remote sensing image with high accuracy.

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  - Dehui Zhang
AU  - Yong Yang
AU  - Kai Song
AU  - Deyu Zhang
PY  - 2016/01
DA  - 2016/01
TI  - Research on an Object Oriented Change Detection Algorithm
BT  - Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials
PB  - Atlantis Press
SP  - 397
EP  - 401
SN  - 2352-538X
UR  - https://doi.org/10.2991/icsmim-15.2016.75
DO  - 10.2991/icsmim-15.2016.75
ID  - Zhang2016/01
ER  -