| DEM中线性信息提取方法研究 |
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| 引用本文： | 苏丹丹,刘光胜.DEM中线性信息提取方法研究[J].吉林大学学报(地球科学版),2004(Z1). |
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| 作者姓名： | 苏丹丹 刘光胜 |
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| 作者单位： | 吉林大学综合信息矿产预测研究所 吉林长春130026
(苏丹丹)，吉林大学综合信息矿产预测研究所 吉林长春130026(刘光胜) |
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| 摘 要： | DEM中线性信息提取方法按照提取时使用信息范围的广度可分为全局方法和局部方法。其中全局方法包括确定水流模型方法和随机水流模型方法,局部方法包括垂向截面方法、水平截面方法和曲面拟合方法。并对各方法及其改进方法进行了研究。
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| 关 键 词： | 数字高程模型 水流模型 随机水流模型 断面识别 |
The Comprehensive Research of Automatic Lineament Extraction From Dem |
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| SU Dan-dan,LIU Guang-sheng.The Comprehensive Research of Automatic Lineament Extraction From Dem[J].Journal of Jilin Unviersity:Earth Science Edition,2004(Z1). |
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| Authors: | SU Dan-dan LIU Guang-sheng |
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| Abstract: | According to the range of information which is made use of to extract lineament, the methods for linear information extraction in DEM include some methods which make use of the information of overall situation to extract lineament and another methods which make use of the information of parts of an area to extract lineament. The former include stochastic flow direction method and the flow direction method, and the latter include horizontal section method, vertical plane method and surfice fitting method. Every method and some improved methods are systematically investigated in this paper. |
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| Keywords: | digital elevation models (DEM) flow direction models stochastic flow direction models profile recognition |
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