Object-Oriented Building Information Extraction from High
Resolution Remote Sensing Satellite Imagery

Journal of Atmospheric and Environmental Optics ›› 2021, Vol. 16 ›› Issue (4): 358-364.

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Object-Oriented Building Information Extraction from High Resolution Remote Sensing Satellite Imagery

HAN Dongcheng1;2∗, YANG Shizhi1, ZHAO Qiang3, Han Lu1;2, YANG zhi3, CUI Shengcheng1

1 Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei 230031, China; 2 University of Science and Technology of China, Hefei 230022, China; 3 School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei 230601, China

Received:2019-05-23 Revised:2020-02-01 Online:2021-07-28 Published:2021-07-28
Contact: Dong-Cheng HAN E-mail:1039433532@qq.com
Supported by:
Anhui Provincial Natural Science Foundation

Abstract

Abstract: In order to achieve high-precision building information extraction, a rule-based object-oriented method is adopted, and a technical process of image preprocessing, multi-scale segmentation, construction of rule information, and feature extraction is proposed. Two sample areas in Yangzhou City, China (Jiajia Garden Community and Lianyi Nanyuan Community) based on the domestically produced GF-2 satellite are used for experimental validation of the method. It is shown that compared with the traditional method, the new method has better extraction effect and higher accuracy, with a recognition accuracy of 97.7% and a Kappa coefficient of 0.93.

Key words: rule database, object-oriented, information extraction, high resolution remote sensing image, building

CLC Number:

P237

HAN Dongcheng, ∗, YANG Shizhi, ZHAO Qiang, Han Lu, YANG zhi, CUI Shengcheng. Object-Oriented Building Information Extraction from High Resolution Remote Sensing Satellite Imagery[J]. Journal of Atmospheric and Environmental Optics, 2021, 16(4): 358-364.

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Object-Oriented Building Information Extraction from High Resolution Remote Sensing Satellite Imagery

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