基于数字图像处理技术的风蚀地表颗粒提取
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国际科技合作项目“用于沙漠化防治的耐旱植物生物技术开发研究”(2010DFA91930);国家科技支撑项目“半干旱区受损生态系统恢复重建及资源持续利用技术研发与示范”(2011BAC07B02-03);内蒙古农业大学科研创新团队项目(NDTD2010-11)


Particles Extracted From Wind Erosion Surface Based on Digital Image Process Technology
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    地表粗沙粒残留量可以反映出土壤侵蚀量与抗侵蚀能力。基于数字图像处理技术对阴山北麓风蚀粗粒化地表的颗粒进行了提取研究。结果表明,经过ERDAS IMAGINE 9.0软件处理后再提取的颗粒面积较ArcGIS 9.2软件下矢量化得到的颗粒面积小,但是两者之间存在显著的线性关系,可以利用该关系进行颗粒面积补偿。通过颗粒等效面积与等效周长求取的颗粒分形维数为1.418 4,颗粒分形维数反映的现地粗粒化状况与实际考察结果大体一致。表明采用图像处理软件可以对地表数字图像中的颗粒进行准确测量,在省时省力的同时也提高了研究的精度。

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    Soil erosion quantity and soil anti-erodibility can be reflected by the amount of surface residual particles with wind erosion.It is of great importance to precisely extract particles content on earth surface.Based on digital image processing technology,the extraction of soil particles on wind erosion surface in northern foot of Yinshan Mountain has been done.The result showed that the particles area processed by ERDAS IMAGINE 9.0 was smaller than that processed by ArcGIS 9.2,but there was a remarkable linear relation between them.We can use this relation to compensate particles deficiency area.The fractal dimension obtained by means of particles equivalent area and equivalent perimeter was 1.418 4.The soil particles condition reflected by this fractal dimension on research region was in accordance with that real condition.With image processing software,we can extract accurate surface particle information.It can provide a foundation for future desertification monitoring,also,it was greatly meaningful for us to swiftly and exactly valuate the degree of soil wind-erosion and land desertification.

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高君亮,高永,虞毅,李玉宝,王淮亮.基于数字图像处理技术的风蚀地表颗粒提取[J].水土保持通报,2011,(6):139-142

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  • 收稿日期:2010-12-28
  • 最后修改日期:2011-03-30
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  • 在线发布日期: 2014-11-26
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