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Fast Segmentation of High-Resolution Satellite Images Using Watershed Transform Combined with an Efficient Region Merging Approach

  • Qiuxiao Chen
  • Chenghu Zhou
  • Jiancheng Luo
  • Dongping Ming
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3322)

Abstract

High-resolution satellite images like Quickbird images have been applied into many fields. However, researches on segmenting such kind of images are rather insufficient partly due to the complexity and large size of such images. In this study, a fast and accurate segmentation approach was proposed. First, a homogeneity gradient image was produced. Then, an efficient watershed transform was employed to gain the initial segments. Finally, an improved region merging approach was proposed to merge the initial segments by taking a strategy to minimize the overall heterogeneity increased within segments at each merging step, and the final segments were obtained. Compared with the segmentation approach of a commercial software eCognition, the proposed one was a bit faster and a bit more accurate when applied to the Quickbird images.

Keywords

Remote Sensing Image Segmentation Segmentation Result Segmentation Approach Quickbird Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Qiuxiao Chen
    • 1
    • 2
  • Chenghu Zhou
    • 1
  • Jiancheng Luo
    • 1
  • Dongping Ming
    • 1
  1. 1.The State Key Lab of Resources & Environmental Information SystemChinese Academy of SciencesBeijingChina
  2. 2.Dept. of Regional and Urban Planning, Yuquan CampusZhejiang UniversityHangzhouChina

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