Smart Assessment of Urban Old Residential Areas Based on Object Detection-Reference-Cited by-同舟云学术

Smart Assessment of Urban Old Residential Areas Based on Object Detection

Published:2023-11-30 Issue: Volume:2022 Page:801-810
ISSN:
Container-title:ICCREM 2023
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Author:

Wang Shijia¹²³⁴,Gao Ming¹²³⁴,Wang Hao¹²³⁴,Gao Ran¹²³⁴

Affiliation:

1. School of Management Science and Engineering, Central Univ. of Finance and Economics, Beijing, China.

2. Associate Professor, School of Management Science and Engineering, Key Laboratory of Big Data Management Optimization and Decision of Liaoning Province, Dongbei Univ. of Finance and Economics, Dalian, China.

3. Professor, School of Management Science and Engineering, Central Univ. of Finance and Economics, Beijing, China (corresponding author).

4. Associate Professor, School of Management Science and Engineering, Central Univ. of Finance and Economics, Beijing, China.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485217.078

Reference11 articles.

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3. Developing urban residential reference buildings using clustering analysis of satellite images

4. Monitoring Built Environment of China with New Data: Indicator System and Case Studies;Long Y.;Urban Development Studies,2018

5. Lu H. Guan R. Xia M. Zhang C. Miao C. Ge Y. and Wu X. (2022). “Very high-resolution remote sensing-based mapping of urban residential districts to help combat covid-19.” Cities 126.