[1]WU Haolin,NIE Gaozhong,FAN Xiwei,et al.Comparison of Algorithms for Surface Buildings Extraction Based on UAV Images:Taking Qiongharajun Village in Atushi City,Xinjiang as an Example[J].Journal of Seismological Research,2019,42(02):236-244.
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Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume:
42
Number of periods:
2019 02
Page number:
236-244
Column:
Public date:
2019-07-17
- Title:
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Comparison of Algorithms for Surface Buildings Extraction Based on UAV Images:Taking Qiongharajun Village in Atushi City,Xinjiang as an Example
- Author(s):
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WU Haolin; NIE Gaozhong; FAN Xiwei; WEI Benyong; AN Jiwen
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(Institute of Geology,China Earthquake Administration,Beijing 100029,China)
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- Keywords:
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pre-assessment of earthquake disaster losses; UAV; surface buildings extraction; morphological imageprocessing
- CLC:
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P315.943
- DOI:
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- Abstract:
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Taking Qiongharajun Village in Atushi City,Xinjiang as the research area,using the image taken by the small-scale rotorcraft UAV as the data source,we extract the housing buildings in the research area by object-oriented and pixel-oriented image analysis methods,compared the results of the two algorithms,and analyzed their respective advantages. The results show that the object-oriented method can effectively eliminate the impact of salt and pepper noise on classification and ensure the integrity of the housing morphology. However, if the similar spectral and texture information in the image corresponds to a variety of ground objects, the image object will be misclassified. The improved mathematical morphology algorithm is added to the pixel-oriented extraction method, which can effectively suppress salt and pepper noise, maintain the continuity and integrity of the building edge, and solve the problem of some farmland and houses in the object-oriented method.