Research on a Multi-Scale Segmentation Algorithm Based on High Resolution Satellite Remote Sensing Image

DOI

10.2991/icca-16.2016.99How to use a DOI?

Keywords

High resolution satellite remote sensing image, Multi-scale, Image segmentation, Image object

Abstract

A multi-scale segmentation algorithm based on high resolution satellite remote sensing image is proposed in this study. Firstly, scale parameter was set up according to the size of the target object. Then the heterogeneity between adjacent image regions was calculated by the formula. Thereafter, the heterogeneity and scale parameter were compared. If heterogeneity was smaller than the scale parameter, the adjacent image regions were merged and the process of comparing and merging continued; otherwise; if heterogeneity was not smaller than the scale parameter, the process of merging the adjacent image regions ended and image segmentation of remote sensing image completed. Finally, the target objects were divided into single image object. Our experiment shows that this novel algorithm can adjust scale parameter according to the size of the target object, and achieve multi scale segmentation of remote sensing image.

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 a Multi-Scale Segmentation Algorithm Based on High Resolution Satellite Remote Sensing Image
BT  - Proceedings of the 2016 International Conference on Intelligent Control and Computer Application
PB  - Atlantis Press
SP  - 414
EP  - 416
SN  - 2352-538X
UR  - https://doi.org/10.2991/icca-16.2016.99
DO  - 10.2991/icca-16.2016.99
ID  - Zhang2016/01
ER  -