ALS Data Filtration with Fuzzy Logic

DTM extraction from the ALS (Airborne Laser Scanning) point cloud is a complex task which involves many algorithms and numerical procedures. One of the first steps, performed to remove all of the terrain covering, is data filtration. There is a number of filtration methods and algorithms to chose from. In this paper we would like to propose a filtration method based on fuzzy logic. We present basic information regarding fuzzy logic, the design of fuzzy rules and an example of point cloud processing. For comparison, results from the ATIN filtration method are presented.