作者机构：
[刘鹏程; 毕旭] College of Urban and Environment Science, Central China Normal University, 152 Luoyu Road, Wuhan 430079, China;[艾廷华] School of Resource and Environment Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
通讯机构：
College of Urban and Environment Science, Central China Normal University, 152 Luoyu Road, China
作者机构：
[刘鹏程] College of Urban and Environmental Science, Huazhong Normal University, Wuhan 430079, China;[艾廷华; 杨敏] School of Resources and Environment Science, Wuhan University, Wuhan 430079, China
通讯机构：
[Liu, P.] C;College of Urban and Environmental Science, Huazhong Normal University, China
作者机构：
[杨敏; 艾廷华; 成晓强] School of Resources and Environment Science, Wuhan University, Wuhan 430072, China;[刘鹏程] College of Urban and Environment Science, Central China Normal University, Wuhan 430079, China
通讯机构：
[Yang, M.] S;School of Resources and Environment Science, Wuhan University, China
作者机构：
[刘鹏程; 李畅] College of Urban and Environmental Science, Huazhong Normal University, 152 Luoyu Road, Wuhan 430079, China;[李奇] Center for Earth Observation and Digital Earth Airborne Remote Sensing Center, Chinese Academy of Sciences, A 3 Datun Road, Beijing 100101, China;[李芳芳] Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, 47 Yanwachizheng Street, Changsha 410073, China
通讯机构：
College of Urban and Environmental Science, Huazhong Normal University, 152 Luoyu Road, China
摘要：
Building 3D reconstruction based on ground remote sensing data (image, video and lidar) inevitably faces the problem that buildings are always occluded by vegetation, so how to automatically remove and repair vegetation occlusion is a very important preprocessing work for image understanding, compute vision and digital photogrammetry. In the traditional multispectral remote sensing which is achieved by aeronautics and space platforms, the Red and Near-infrared (NIR) bands, such as NDVI (Normalized Difference Vegetation Index), are useful to distinguish vegetation and clouds, amongst other targets. However, especially in the ground platform, CIR (Color Infra Red) is little utilized by compute vision and digital photogrammetry which usually only take true color RBG into account. Therefore whether CIR is necessary for vegetation segmentation or not has significance in that most of close-range cameras don't contain such NIR band. Moreover, the CIE L*a*b color space, which transform from RGB, seems not of much interest by photogrammetrists despite its powerfulness in image classification and analysis. So, CIE (L, a, b) feature and support vector machine (SVM) is suggested for vegetation segmentation to substitute for CIR. Finally, experimental results of visual effect and automation are given. The conclusion is that it's feasible to remove and segment vegetation occlusion without NIR band. This work should pave the way for texture reconstruction and repair for future 3D reconstruction.
作者机构：
[罗静; 刘鹏程; 李畅] College of Urban and Environmental Science, Central-China Normal University, 152 Luoyu Road, Wuhan 430079, China;[艾廷华] School of Resource and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
通讯机构：
College of Urban and Environmental Science, Central-China Normal University, 152 Luoyu Road, China
作者机构：
[黄亚锋; 艾廷华] School of Resources and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China;[刘鹏程] College of Urban and Environment Science, Central-China Normal University, 152 Luoyu Road, Wuhan 430079, China;[黄亚锋; 艾廷华] Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
通讯机构：
School of Resources and Environmental Science, Wuhan University, 129 Luoyu Road, China
作者机构：
[Liu Pengcheng; Zhang Hailin; Zhang Xuesong] Huazhong Normal Univ, Sch City & Environm Sci, Wuhan, Peoples R China.
会议名称：
International Conference on Future Computers in Education (ICFCE 2011)
会议时间：
JUN 25-26, 2011
会议地点：
Xiamen, PEOPLES R CHINA
会议主办单位：
[Zhang Xuesong;Zhang Hailin;Liu Pengcheng] Huazhong Normal Univ, Sch City & Environm Sci, Wuhan, Peoples R China.
关键词：
geographic information technology;secondary school geography curriculum;teaching methods
摘要：
Rapid development and wide application of geographic information technology in recent years results in geographic information technology's being included in secondary school geography curriculum standards for the first time. Facing the new teaching tasks, geography teachers need to adopt appropriate teaching methods. Based on teaching theory of geography, this paper firstly analyses the characteristics of the "3S" technology course in "Geography curriculum standards of full-time regular senior secondary schools", such as teaching objectives, teaching materials and knowledge background of students etc. Moreover, some teaching methods of the "3S"technology course are introduced. In addition, the paper gives various corresponding cases to describe the above methods. It is shown that these methods are effective in practice.
作者机构：
[刘鹏程] College of Urban and Environmental Science, Central-China Normal University, 152 Luoyu Road, Wuhan 430079, China;[胡晋山] School of Geodesy and Geomatics, Xuzhou Normal University, 101 Shanghai Road, Xuzhou 221116, China;[成晓强; 艾廷华] School of Resource and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
通讯机构：
College of Urban and Environmental Science, Central-China Normal University, 152 Luoyu Road, China
