چکیده مقاله
Lacks of detailed land use LU information and of efficient data gathering methods have made modeling of urban systems difficult This study aims to develop a novel hierarchical rule based LU extraction framework using geographic vector and remotely sensed RS data, in order to extract detailed subzonal LU information, residential LU in this study The LU extraction system is developed to extract residential LU at a fine spatial level parcel through morphological analysis First, a novel hybrid pixeland object based land cover LC classification system, coupled with a sophisticated GIS post classification correction process, is developed to extract land cover, including vegetation, parking lot, and bare soil, required for LU classification The land cover classification system developed results in an overall accuracy of 96 4% Residential LUs are then extracted by examining the morphological properties of individual parcels which are derived from RS and geographic vector data using a binary logistic model, which results in an overall accuracy of 97 5% The above results show that the LU classification expert system developed can classify and then divide large zones with mixed LUs into single LU subzones with a high accuracy Therefore, it has a significant value to address several persistent issues caused by using large zones in urban modeling, such as intra zonal travel and mixed LU zones
کلیدواژهها
نویسندگان
Seyed Ahad Beykaei
PhD Candidate, Civil Engineering Department, University of New Brunswick, Canada
Ming Zhong
Associate Professor, PhD, P Eng, Civil Engineering Department, University of New Brunswick, Canada
Sajad Shiravi
Master of Science Student, Civil Engineering Department,University of New Brunswick, Canada
Yun Zhang
Professor, PhD, Civil Engineering Department, Geomatics and Geodesy Department, University of New Brunswick, Canada
شیوه ارجاع
Beykaei, Seyed Ahad and Zhong, Ming and Shiravi, Sajad and Zhang, Yun,1391,Development of an Automatic Land Use Extraction System in Urban Areas using VHR Aerial Imagery and GIS Vector Data,12th International Conference on Traffic and Transportation Engineering,Tehran
ارائهشده در
مجموعه مقالات دوازدهمین کنفرانس بین المللی مهندسی حمل و نقل و ترافیک1 اسفند 1391 · تهران