An Algorithm on Extraction of Saline-Alkalized Land by Image Segmentation Based on ETM + Image

  • Li Jianping
  • Zhang Bai
  • Zhang Shuqing
  • Wang Zongming
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3980)


Based on ETM+ remote sensing image, according to geographical distribution and spectral characteristics of saline-alkalized land, especially that of light, and moderate saline-alkalized land, an algorithm of semi-supervised multi-grade mean weighed seed region searching is presented. Experimental results indicate that the algorithm has high operation speed, high segmentation accuracy and certain fault tolerance, and also, to a great extent, over-segmentation problem can be perfectly solved. But because of mixed distribution of sand land and saline-alkalized land, they can not be effectively segmented by the algorithm.


Image Segmentation Seed Region Color Component Seed Point Color Image Segmentation 
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 2006

Authors and Affiliations

  • Li Jianping
    • 1
  • Zhang Bai
    • 1
  • Zhang Shuqing
    • 1
  • Wang Zongming
    • 1
  1. 1.Northeast Institute of Geography and Agriculture EcologyC A SChangchunChina

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