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    中国百强科技报刊

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    Volume 35 Issue 3
    May  2010
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    Article Contents
    GAO Wei, LIU Xiu-guo, PENG Pan, CHEN Qi-hao, 2010. An Improved Method of High-Resolution Remote Sense Image Segmentation. Earth Science, 35(3): 421-425. doi: 10.3799/dqkx.2010.050
    Citation: GAO Wei, LIU Xiu-guo, PENG Pan, CHEN Qi-hao, 2010. An Improved Method of High-Resolution Remote Sense Image Segmentation. Earth Science, 35(3): 421-425. doi: 10.3799/dqkx.2010.050

    An Improved Method of High-Resolution Remote Sense Image Segmentation

    doi: 10.3799/dqkx.2010.050
    • Received Date: 2010-01-15
    • Publish Date: 2010-05-01
    • Fractal net evolution approach (FNEA) is a relatively mature one among the object-oriented image segmentation algorithms, but its efficiency is to be improved. Quad-Tree segmentation is a kind of effective image segmentation method. In this paper, an improved object oriented multi-scale image segmentation method based on the quad-tree pre-segmentation and FNEA is introduced. The experiment shows that the effect of its segmentation result is almost the same as that of traditional FNEA method. Moreover, It saves time.

       

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