Improving the quantification of georeferenced images in the airborne scanning laser ranging-imaging sensor (ASLRIS)

Yihua Hu; Rong Shu; Yongqi Xue

doi:10.1117/12.409864

15 December 2000 Improving the quantification of georeferenced images in the airborne scanning laser ranging-imaging sensor (ASLRIS)

Yihua Hu, Rong Shu, Yongqi Xue

Author Affiliations +

Proceedings Volume 4130, Infrared Technology and Applications XXVI; (2000) https://doi.org/10.1117/12.409864
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

Today, it becomes more and more important to provide high quantification of remote sensing information to study and utilize earth resources. Georeferenced images, as advanced remote sensing information, consist of ground images with their 3D positioning coordinates and play a key role in earth observation. So, the quantification of georeferenced images is attracting people's attentions. In this paper, an airborne sensor called the ASLRIS system for producing georeferenced images is introduced first. In succession, the fundamental and quantification of georeferenced images is analyzed, where the positioning quantification as well as its limiting factors is especially discussed on the system. Then some technical methods applied in the ASLRIS system to improve the positioning quantification of georeferenced images are studied emphatically. The technique of waveform digitization for precise time-of-flight discrimination and the technique of tapped delay line for precise time interval measurement are accomplished to improve the accuracy of airborne scanning laser ranging. Some mechanic calibrations and parameter measurements are implemented to synthetically improve the positioning accuracy. The conic scanning technique is applied to improve the horizontal positioning resolution. Finally, some test results of the ASLRIS system are described. It is indicated that the quantification level of georeferenced images is improved obviously.

Citation Download Citation

Yihua Hu, Rong Shu, and Yongqi Xue "Improving the quantification of georeferenced images in the airborne scanning laser ranging-imaging sensor (ASLRIS)", Proc. SPIE 4130, Infrared Technology and Applications XXVI, (15 December 2000); https://doi.org/10.1117/12.409864

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