首页> 外文会议>International Conference on Computational Science and Its Applications(ICCSA 2006) pt.1; 20060508-11; Glasgow(GB) >An Algorithm on Extraction of Saline-Alkalized Land by Image Segmentation Based on ETM~+ Image
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An Algorithm on Extraction of Saline-Alkalized Land by Image Segmentation Based on ETM~+ Image

机译:基于ETM〜+图像的图像分割提取盐碱化土地的算法

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摘要

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.
机译:基于ETM +遥感图像,根据盐碱地的地理分布和光谱特征,特别是轻度和中度盐碱地的光谱特征,提出了一种半监督多级平均加权种子区搜索算法。实验结果表明,该算法具有运算速度快,分割精度高,具有一定的容错能力,并且在很大程度上可以很好地解决分割过度的问题。但是由于沙地和盐碱化土地的混合分布,因此无法通过算法有效地进行分割。

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