Construction of community life circle database based on high-resolution remote sensing technology and multi-source data fusion

• Main Authors: Jin Zuo, Lei Meng, Chen Li, Heng Zhang, Yun Zeng, Jing Dong
• Format: Article
• Language: English
• Published: Taylor & Francis Group 2020-05-01
• Series: European Journal of Remote Sensing
• Subjects: multi-source data fusion; high-resolution remote sensing; urban central area; community life circle; database
• Online Access: http://dx.doi.org/10.1080/22797254.2020.1763208

To provide supporting tools for the community life circle scientific planning and efficient management, the paper takes the urban central area as the research object, and constructs the community life circle database based on multi-source data fusion. High-resolution remote sensing technology and mobile internet complement traditional planning institute data and provide effective ways to obtain multi-source data. When multi-source data describes the same feature, the data content could be repetitive or conflicting, which causes the data to be inaccurate. Multi-source data fusion coordinates repetitive or conflicting data contents, and forms a unified, accurate and useful description on the same feature. The results: (1) Land use, building, supporting facility, and road are important construction elements of community life circle. (2) The planning institute, Baidu place API interface and high-resolution remote sensing technology are the main data acquisition channels. The Baidu POI data is an effective supplement to planning institute facility data. (3) Based on the high-resolution remote sensing images change detection and vector extraction technology, the paper updates planning institute building data. The new information technology has enriched the data sources, the paper contributes to take full advantage of multi-source data and improve the reality, completeness and accuracy of database.