Airborne LIDAR is one of the most effective and reliable means of coastal survey. Using LIDAR data for coastal
survey is becoming a standard practice in spatial related areas. However, the effective processing of the raw LIDAR data,
the generation of an efficient and high-quality DEM and feature extraction remain big challenges. This paper reviews
some critical issues on the LIDAR data pre-processing, removing and separating the LIDAR data, mainly including the
following: How to extract and classify the buildings, vegetation, roads and the other objections and afterward having
some discussions on the image registration and multi-source data fusion.
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