IMHE OpenIR
利用最佳地形特征空间进行地貌形态自动识别--以西南地区为例
Alternative TitleTopographic Automatic Recognition Based on Optimal Topography Feature Space-Taking Southwest China as an Example
曹伟超1,2; 陶和平1; 孔博1; 刘斌涛1
2011
Source Publication武汉大学学报. 信息科学版
ISSN1671-8860
Volume7Issue:3Pages:1376-1380
SubtypeArticle
Contribution Rank1
Abstract基于ASDEM数据,提出采用相关矩阵法和雪氏熵值法获取西南地区地貌形态识别的最佳地形特征空间为坡度、地表切割深度、地面累积曲率、绝对高程和地表粗糙度的组合,使用最佳地形特征空间分析方法获得西南地区11种地貌形态的分布图。研究结果表明,平原及低海拔盆地、丘陵、中山和亚高山4种地貌形态分布较广,其和占到总面积的56.11%,其余各类型与总面积比在4.08%~8.30%之间,且较破碎。分别从宏观和微观两方面验证了结果的可靠性,对进一步研究具有参考意义。
Other AbstractBased on ASDEM data, we propose a method of correlation matrix and Sheffield entropy, and get the optimal topography feature space which contains the slope, surface cutting depth, accumulation curvature, elevation and surface roughness.We get the distribution map of 11kinds of geomorphic types in southwest China by using the method of optimal topography feature space analysis.The results show that the areas of plain with low-elevation basins, hills, mid-elevation mountains and subalpine are greater, the proportion of the sum area of these 4types reaches 56.11% of the total area, the proportions of other types fluctuate between 4.08%-8.30%, and the topography is more broken.The results have been proved to be credible both macroscopically and microscopically, which have certain value for the further research.
Keyword地貌形态 最佳地形特征空间 地貌形态特征
DOI10.13203/j.whugis2011.11.028
Indexed ByCSCD
Language中文
CSCD IDCSCD:4351637
Citation statistics
Cited Times:7[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/26030
Collection中国科学院水利部成都山地灾害与环境研究所
Corresponding Author曹伟超
Affiliation1.中国科学院成都山地灾害与环境研究所;
2.中国科学院研究生院
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Corresponding Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
曹伟超,陶和平,孔博,等. 利用最佳地形特征空间进行地貌形态自动识别--以西南地区为例[J]. 武汉大学学报. 信息科学版,2011,7(3):1376-1380.
APA 曹伟超,陶和平,孔博,&刘斌涛.(2011).利用最佳地形特征空间进行地貌形态自动识别--以西南地区为例.武汉大学学报. 信息科学版,7(3),1376-1380.
MLA 曹伟超,et al."利用最佳地形特征空间进行地貌形态自动识别--以西南地区为例".武汉大学学报. 信息科学版 7.3(2011):1376-1380.
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