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| 基于数字图像处理技术的风蚀地表颗粒提取 | |
| 引用本文： | 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,2011,31(6):139-142. |
| 作者姓名： | 高君亮 高永 虞毅 李玉宝 王淮亮 |
| 作者单位： | 1. 中国林业科学研究院沙漠林业实验中心,内蒙古磴口015200／内蒙古农业大学生态环境学院,内蒙古呼和浩特010019 2. 内蒙古农业大学生态环境学院,内蒙古呼和浩特,010019 3. 国际竹藤网络中心,北京,100102 4. 温州大学生命与环境学院,浙江温州,325027 |
| 基金项目： | 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) |
| 摘 要： | 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。 |
| 关 键 词： | 数字图像处理 粗粒化 颗粒提取 分形维数 |
| 收稿时间： | 2010/12/28 0:00:00 |
| 修稿时间： | 2011/3/30 0:00:00 |
Particles Extracted From Wind Erosion Surface Based on Digital Image Process Technology |
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| GAO Jun-liang,GAO Yong,YU Yi,LI Yu-bao and WANG Huai-liang.Particles Extracted From Wind Erosion Surface Based on Digital Image Process Technology[J].Bulletin of Soil and Water Conservation,2011,31(6):139-142. | |
| Authors: | GAO Jun-liang GAO Yong YU Yi LI Yu-bao and WANG Huai-liang |
| Institution: | GAO Jun-liang1,2,GAO Yong2,YU Yi3,LI Yu-bao4,WANG Huai-liang2(1.Experimental Center of Desert Forestry,Chinese Academy of Forestry,Dengkou,Inner Mongolia 15200,China,2.College of Ecology and Environment Science,Inner Mongolia Agricultural University,Hohhot,Inner Mongoila 010019,3.International Center for Bamboo and Rattan,Beijing 100102,4.College of Life and Environmental Science,Wenzhou University,Wenzhou,Zhejiang 325027,China) |
| Abstract: | 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 line... |
| Keywords: | digital image process coarse graining particles extraction fractal dimension |
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