标题：Extraction and Analysis of Mega Cities' Impervious Surface on Pixel-based and Object-oriented Support Vector Machine Classification Technology: A case of Bombay
作者：Yu, S. S.; Sun, Z. C.; Sun, L.; Wu, M. F.
作者机构：[Yu, S. S.; Sun, L.; Wu, M. F.] Shandong Univ Sci & Technol, Qingdao 266590, Shandong, Peoples R China.; [Yu, S. S.; Sun, Z. C.] Chinese Acad Sci, I 更多
会议名称：International Symposium on Earth Observation for One Belt and One Road (EOBAR)
会议日期：MAY 16-17, 2016
来源：INTERNATIONAL SYMPOSIUM ON EARTH OBSERVATION FOR ONE BELT AND ONE ROAD (EOBAR)
摘要：The object of this paper is to study the impervious surface extraction method using remote sensing imagery and monitor the spatiotemporal changing patterns of mega cities. Megacity Bombay was selected as the interesting area. Firstly, the pixel-based and object-oriented support vector machine (SVM) classification methods were used to acquire the land use/land cover (LULC) products of Bombay in 2010. Consequently, the overall accuracy (OA) and overall Kappa (OK) of the pixel-based method were 94.97% and 0.96 with a running time of 78 minutes, the OA and OK of the object-oriented method were 93.72% and 0.94 with a running time of only 17s. Additionally, OA and OK of the object-oriented method after a post-classification were improved up to 95.8% and 0.94. Then, the dynamic impervious surfaces of Bombay in the period 1973-2015 were extracted and the urbanization pattern of Bombay was analysed. Results told that both the two SVM classification methods could accomplish the impervious surface extraction, but the object oriented method should he a better choice. Urbanization of Bombay experienced a fast extending during the past 42 years, implying a dramatically urban sprawl of mega cities in the developing countries along the One Belt and One Road (OBOR).