Automatic updating and 3D modeling of airport information from high resolution images using GIS and LIDAR data

Zheng Lv; Haigang Sui; Xilin Zhang; Xianfeng Huang

doi:10.1117/12.748618

14 November 2007 Automatic updating and 3D modeling of airport information from high resolution images using GIS and LIDAR data

Zheng Lv, Haigang Sui, Xilin Zhang, Xianfeng Huang

Author Affiliations +

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 679018 (2007) https://doi.org/10.1117/12.748618
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

As one of the most important geo-spatial objects and military establishment, airport is always a key target in fields of transportation and military affairs. Therefore, automatic recognition and extraction of airport from remote sensing images is very important and urgent for updating of civil aviation and military application. In this paper, a new multi-source data fusion approach on automatic airport information extraction, updating and 3D modeling is addressed. Corresponding key technologies including feature extraction of airport information based on a modified Ostu algorithm, automatic change detection based on new parallel lines-based buffer detection algorithm, 3D modeling based on gradual elimination of non-building points algorithm, 3D change detecting between old airport model and LIDAR data, typical CAD models imported and so on are discussed in detail. At last, based on these technologies, we develop a prototype system and the results show our method can achieve good effects.

Citation Download Citation

Zheng Lv, Haigang Sui, Xilin Zhang, and Xianfeng Huang "Automatic updating and 3D modeling of airport information from high resolution images using GIS and LIDAR data", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 679018 (14 November 2007); https://doi.org/10.1117/12.748618

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