Identifying city PV roof resource based on Gabor filter

3rd International Conference on Advances in Energy, Environment and Chemical Engineering

能源学;生态环境科学;化学工业

Ruhang, Xu^1 ; Zhilin, Liu^2 ; Yong, Huang^3 ; Xiaoyu, Zhang^4

School of Economics and Management, North China Electric Power University, Beijing, China^1

National Institute of Clean and Low Carbon Energy, Beijing, China^2

China Nuclear Engineeringand Construction Corporation, Beijing, China^3

State Grid Jibei Electric Power Company Limited, Management Training Center, Beijing, China^4

关键词: Area estimation;    Expert knowledge;    Object-based analysis;    Remote sensing data;    Remote sensing images;    Residential building;    Semantic information;    Urban buildings;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/69/1/012157/pdf
DOI  :  10.1088/1755-1315/69/1/012157

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

To identify a city's PV roof resources, the area and ownership distribution of residential buildings in an urban district should be assessed. To achieve this assessment, remote sensing data analysing is a promising approach. Urban building roof area estimation is a major topic for remote sensing image information extraction. There are normally three ways to solve this problem. The first way is pixel-based analysis, which is based on mathematical morphology or statistical methods; the second way is object-based analysis, which is able to combine semantic information and expert knowledge; the third way is signal-processing view method. This paper presented a Gabor filter based method. This result shows that the method is fast and with proper accuracy.