Data processing of laser airborne depth mapping

Hongyan Jian; Weibiao Chen; Ying Wang; Chunlin Chu

doi:10.1117/12.466264

21 March 2003 Data processing of laser airborne depth mapping

Hongyan Jian, Weibiao Chen, Ying Wang, Chunlin Chu

Proceedings Volume 4893, Lidar Remote Sensing for Industry and Environment Monitoring III; (2003) https://doi.org/10.1117/12.466264
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China

Abstract

A laser airborne depth mapping (LADM) for the topography of coastal water was developed in China. System was implemented in South China Sea between 2001 and 2002. Data processing subsystem is introduced in this paper. Three automated waveform processing algorithms have been developed around several sets of heuristic rules to extract reliably accurate depths with a low false alarm rate. The position, pulse width and ratio of signal to noise are obtained by the low-pass differentiator algorithm (LD). The floor reflecting is determined by the signal above some thresholds in LD method. According to the characteristics of water attenuation, the received signal is revised by the inverse of the water attenuation coefficient (here after, RA method). The bottom is easier to distinguished from the enhanced contrast between the floor reflecting and water scattering. The LD and RA algorithms show a consist results in the post-flight data processing. A more simple and fast algorithms of delayed signal subtracter (DS) is used on flight as a real time data processing, in which the signal is delayed some time abd subtracted by the original signal. The three methods are analyzed in details. The result of data processing isalso presented.

Citation Download Citation

Hongyan Jian, Weibiao Chen, Ying Wang, and Chunlin Chu "Data processing of laser airborne depth mapping", Proc. SPIE 4893, Lidar Remote Sensing for Industry and Environment Monitoring III, (21 March 2003); https://doi.org/10.1117/12.466264

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