首页遥感信息工程学院研究生导师论坛和专题讲座
标题 Parcel-based urban land use classification in megacity using airborne LiDAR, high resolution orthoimagery, and Google Street View
主讲人 Prof.Chuanrong Zhang
职称
职位 教授
地点 遥感学院附3-202报告厅
举办学院 遥感信息工程学院
举办时间 2018年7月11日10点半
主讲人简介 Dr. Chuanrong Zhang, Professor from Department of Geography & Center for Environmental Sciences and Engineering, University of Connecticut
讲座简介 Urban land use information is increasingly important for a variety of purposes. With their increasing coverage and availability, airborne light detection and ranging (LiDAR) data, high resolution orthoimagery (HRO), and Google Street View (GSV) images are showing great potential for accurate land use classification. However, no study mapped land use in megacity using GSV-derived features or the three kinds of data together for land use classification. The main objectives of this study are (1) to test the performance of a parcel-based land use classification method using a Random Forest classifierwith LiDAR data, HRO, and GSV images in a megacity, and (2) to explore the use of GSV in separating parcels of mixed residential & commercial buildings from other land use parcels.