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An object-based analysis filtering algorithm for airborne laser scanning
Yan, Menglong ; Blaschke, Thomas ; Liu, Yu ; Wu, Lun
刊名国际遥感杂志
2012
关键词LIDAR DATA IMAGE SEGMENTATION EXTRACTION FRAMEWORK
DOI10.1080/01431161.2012.699694
英文摘要Ground filtering is a key process to derive digital terrain models from airborne laser scanning data. Although many methods have been developed to tackle the filtering problem, it has not been fully solved so far. Current algorithms mainly focus on neighbourhood-based or directional filtering approaches. A new object-based analysis (OBA) method is proposed in this article. First, a grid index algorithm accelerates access to unorganized cloud points. Then, a segmentation algorithm is deployed based on the index, and objects are obtained. A filtering logic that utilizes the objects' characteristics is designed. Following this, the performance of the method is comprehensively tested using publicly available International Society for Photogrammetry and Remote Sensing (ISPRS) test data sets for nine urban and six rural regions, and the results are compared to those of eight other algorithms. The OBA method implemented in this article reveals good results without scene-wise optimization of the parameters, and it ranks third or fourth in most of the cases.; Remote Sensing; Imaging Science & Photographic Technology; SCI(E); EI; 3; ARTICLE; 22; 7099-7116; 33
语种英语
内容类型期刊论文
源URL[http://ir.pku.edu.cn/handle/20.500.11897/155735]  
专题地球与空间科学学院
推荐引用方式
GB/T 7714
Yan, Menglong,Blaschke, Thomas,Liu, Yu,et al. An object-based analysis filtering algorithm for airborne laser scanning[J]. 国际遥感杂志,2012.
APA Yan, Menglong,Blaschke, Thomas,Liu, Yu,&Wu, Lun.(2012).An object-based analysis filtering algorithm for airborne laser scanning.国际遥感杂志.
MLA Yan, Menglong,et al."An object-based analysis filtering algorithm for airborne laser scanning".国际遥感杂志 (2012).
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