摘要：
采用生态足迹法测度我国各省区农村居民生活消费的环境压力,利用STIRPAT( Stochastic Impacts by Regression on Population, Affluence and Technology)模型分析农村人口和富裕对环境压力的具体作用,并在此基础上探讨农村技术环境效益.研究发现:我国各省区农村居民生活消费的生态足迹构成不尽相同,且具有显著的地域分异特征;人口数量是农村生态足迹变化的主要驱动因子,二者近同比例变化,富裕程度增加也将加剧农村环境压力;在现有观测数据范围内,分析结果不支持存在环境Kuznets曲线的观点;省际农村技术环境效益差异很大,多个省市存在较大的通过技术改善环境效益的空间.
作者机构：
[Li, Chang; Liu, Pengcheng] Huazhong Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.;[Yang, Ling] Henan Univ, China Australia Cooperat Res Ctr Geoinformat Anal, Coll Environ & Planning, Kaifeng 475004, Peoples R China.;[Hu, Min] Peoples Liberat Army Commun Command Acad, Wuhan 430010, Peoples R China.;[Hu, Min] China Univ Geosci, Sch Econom & Management, Wuhan 430074, Peoples R China.
通讯机构：
[Li, Chang] H;Huazhong Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.
会议名称：
International Conference on Advanced Measurement and Test (AMT 2010)
会议时间：
MAY 15-16, 2010
会议地点：
Sanya, PEOPLES R CHINA
会议主办单位：
[Li, Chang;Liu, Pengcheng] Huazhong Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.^[Yang, Ling] Henan Univ, China Australia Cooperat Res Ctr Geoinformat Anal, Coll Environ & Planning, Kaifeng 475004, Peoples R China.^[Hu, Min] Peoples Liberat Army Commun Command Acad, Wuhan 430010, Peoples R China.^[Hu, Min] China Univ Geosci, Sch Econom & Management, Wuhan 430074, Peoples R China.
会议论文集名称：
Key Engineering Materials
关键词：
vanishing point;line clustering;RANSAC;condition adjustment with parameters;error ellipse
摘要：
In close-range digital photogrammetry and computer vision, a major challenge is the automation of 3D reconstruction from 2D-images. And single image calibration is a fundamental task in these areas for research. It is known that camera parameters can be recovered by the vanishing points of three orthogonal directions. However, three reliable and well-distributed vanishing points are not always available. Therefore, how to estimate the error of two vanishing points is very significant for us to analyze the precision of camera calibration. New methods for vanishing point detection and error estimation are presented, which can be illustrated as follows. Firstly, the line clustering, which parallel to object lines and correspond to the vanishing points, are detected based on RANSAC (Random Sample Consensus). Secondly, "condition adjustment with parameters" is utilized to estimate a nonlinear error equation. Thirdly, the error of vanishing point is expressed by error ellipse that is derived by co-factor matrix according to adjustment principle. Finally, experimental results of vanishing points coordinates and their errors are shown and analyzed.
作者：
Jie Yi;Tang Liping;Yu Guangming;Jiang Zilong;Jing Gaoliao
期刊：
2010 The 2nd Conference on Environmental Science and Information Application Technology,2010年2:458-461
作者机构：
[Tang Liping; Yu Guangming; Jiang Zilong; Jing Gaoliao] College of Urban & Environmental Science, Central China Normal University, Wuhan, China;Faculty of Engineering, China University of Geoscience, Wuhan, China;[Jie Yi] Faculty of Engineering, China University of Geoscience, Wuhan, China<&wdkj&>College of Urban & Environmental Science, Central China Normal University, Wuhan, China
摘要：
Taking Futouhu which is the forth largest lake in Hubei Province as the study object, based on RS and GIS technologies, using the Landsat TM remote sensing images in 1991 and in 2005 as well as local chronicles as basic data resources, combined with field surveys and GPS positioning, the data on the dynamic changes of the area and the types of Futouhu wetland from 1991 to 2005 were obtained, and then the driving forces of these changes were analyzed. The results showed that great changes had taken place in the area and in types of Futouhu wetland during the study period, and the most important reason for these changes was human activities. On the other hand, these changes exerted negative influences on Futouhu wetland, which decreased the biodiversity and anti-jamming capability, and also which increased the vulnerability of the ecological environment in this region.
期刊：
Proceedings of the International Conference on E-Business and E-Government, ICEE 2010,2010年:2335-2338
通讯作者：
Zhang, J.(finecho@163.com)
作者机构：
[Liu, Jiping; Zhang, Jianbo] Research Center of Government Geographic Information System, Chinese Academy of Surveying and Mapping, Beijing, China;[Wang, Bei] College of Urban and Environmental Sciences, Hua Zhong Normal University, Wuhan, China;[Zhang, Jianbo] School of Resource and Environmental Science, Wuhan University, Beijing, China
