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An algorithm on extraction of saline-alkalized land by image segmentation based on ETM+ image

  • Jianping Li*
  • , Bai Zhang
  • , Shuqing Zhang
  • , Zongming Wang
  • *Corresponding author for this work
  • Northeast Institute of Geography and Agriculture Ecology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationComputational Science and Its Applications - ICCSA 2006
Subtitle of host publicationInternational Conference, Proceedings - Part I
PublisherSpringer Verlag
Pages885-894
Number of pages10
ISBN (Print)354034070X, 9783540340706
StatePublished - 2006
Externally publishedYes
EventICCSA 2006: International Conference on Computational Science and Its Applications - Glasgow, United Kingdom
Duration: 8 May 200611 May 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3980 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceICCSA 2006: International Conference on Computational Science and Its Applications
Country/TerritoryUnited Kingdom
CityGlasgow
Period8/05/0611/05/06

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