A Comparative Study of Urban Built-Up Area Change Monitoring by Remote Sensing Images and POI Data—Taking Shenyang as an Example. (September 2020)

• Record Type: Journal Article
• Authors: Sun, Lishuang; Wu, Xinyu; Xie, Zhiwei
• Is Part Of: Journal of physics. Volume 1631(2020)
• Publication Date: 2020-09
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1631/1/012124
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: The urban built-up area change monitoring is important for Urban planning. In this paper, 2016 and 2019 remote sensing images and POI data of Shenyang are selected for monitoring urban built-up area change. First, the remote sensing images and POI data are preprocessed. Second, the urban built-up change area of Shenyang is extracted from remote sensing images by neural network classification. Third, the built-up change area of Shenyang is extracted from POI data by kernel density surfaces. Finally, the similarities and differences are analyzed between the two data in urban built-up area change. Experimental results: the growth trends of built-up areas are same, but the change areas were quite different. The change area is about 404.8km 2 with the remote sensing images, and the change area is about 63.3 km 2 with POI data.