尤红建, 刘少创, 刘彤, 李树楷. 机载三维成像仪数据的快速处理技术[J]. 武汉大学学报 ( 信息科学版), 2000, 25(6): 526-530.
引用本文: 尤红建, 刘少创, 刘彤, 李树楷. 机载三维成像仪数据的快速处理技术[J]. 武汉大学学报 ( 信息科学版), 2000, 25(6): 526-530.
YOU Hongjian, LIU Shaochuang, LIU Tong, LI Shukai. Fast Data Processing Technology of Airborne 3D Image[J]. Geomatics and Information Science of Wuhan University, 2000, 25(6): 526-530.
Citation: YOU Hongjian, LIU Shaochuang, LIU Tong, LI Shukai. Fast Data Processing Technology of Airborne 3D Image[J]. Geomatics and Information Science of Wuhan University, 2000, 25(6): 526-530.

机载三维成像仪数据的快速处理技术

Fast Data Processing Technology of Airborne 3D Image

  • 摘要: 对数据的快速处理技术进行了全面分析,包括数据的检测分解、GPS数据解算、计算激光采样点三维位置、地学编码图像的生成、DEM的快速生成和航带的自动拼接等算法。最后通过在浦东所获取的数据进行快速处理,表明了数据处理技术是可行的,基本可以满足准实时的应用要求。

     

    Abstract: A new airborne remote sensing sy stem——3D image, which integrates GPS, attitude measurement unit (AMU), scanning laser ranger finder (SLRF)and spectral scanner, has been developed successfully.The scanner and SLRF use the same optical system, which ensures the laser point to match the pixel closely.The distinctive advantage of 3D image is that it can produce geo-referenced image and DEM (digital elevation models) image without any ground control points (GCPs).Because surveying GCPs is no longer necessary, it is the software that processes the data and generates data products.Therefore, its efficiency is 10~100 times higher than traditional approaches.The data acquired by 3D image can be processed to produce several kinds of image, such as DEM, geo-referenced image.The data processing involves data decomposing and checking, GPS processing, calculating the positions of laser points, producing geo-referenced image, producing DEM, strips mosaic.The principle of 3D image is first introduced in this paper, and then we focus on the fast processing technique and algorithm.In the end, the data acquired by 3D image in the east of China is processed based on the basis of fast processing technique, and the result shows that the processing technique is feasible and can meet the requirement of quasi-real-time applications.

     

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