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.
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© 2006 Springer-Verlag Berlin Heidelberg
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Jianping, L., Bai, Z., Shuqing, Z., Zongming, W. (2006). An Algorithm on Extraction of Saline-Alkalized Land by Image Segmentation Based on ETM + Image. In: Gavrilova, M., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3980. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751540_96
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DOI: https://doi.org/10.1007/11751540_96
Publisher Name: Springer, Berlin, Heidelberg
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