Acta Geodaetica et Cartographica Sinica >

2017 , Vol. 46 >Issue 6: 734 - 742

DOI: https://doi.org/10.11947/j.AGCS.2017.20160514

A High Resolution Remote Sensing Image Segmentation Method by Combining Superpixels with Minimum Spanning Tree

  • DONG Zhipeng ,
  • WANG Mi ,
  • LI Deren
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  • 1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;
    2. Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China

Received date: 2016-10-24

  Revised date: 2017-05-26

  Online published: 2017-06-28

Supported by

The National Natural Science Foundation of China (No.91438203);National Key Basic Research Program of China (973 Program) (No.2014CB744201)

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Abstract

Image segmentation is the basic and key step of object-oriented remote sensing image analysis. Conventional image segmentation method is sensitive to image noise and hard to determine the correct segmentation scale. To solve these problems, a novel image segmentation method by combining superpixels with minimum spanning tree was proposed in this paper. First, the image is over-segmented by simple linear iterative clustering algorithm to obtain superpixels. Then, superpixels are firstly clustered by regionalization with dynamically constrained agglomerative clustering and partitioning algorithm using the initial segmentation number and the sum of squared deviations (SSD), local variance (LV), rate of LV change (ROC-LV) index of graphs corresponding to the segmentation number are obtained. So the suitable image segmentation number is determined according to the SSD, LV, ROC-LV index of graphs corresponding to segmentation number. Finally, superpixels are reclustered by regionalization with dynamically constrained agglomerative clustering and partitioning algorithm based on the suitable segmentation number. The experimental results showed that the proposed method can obtain good segmentation results.

Key words： high resolution remote sensing image; remote sensing image segmentation; superpixels; clustering; region merging

Cite this article

DONG Zhipeng , WANG Mi , LI Deren . A High Resolution Remote Sensing Image Segmentation Method by Combining Superpixels with Minimum Spanning Tree[J]. Acta Geodaetica et Cartographica Sinica, 2017 , 46(6) : 734 -742 . DOI: 10.11947/j.AGCS.2017.20160514

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