Title :
Adaptive morphological filtering for DEM generation
Author :
Kim, KyoHyouk ; Shan, Jie
Author_Institution :
Sch. of Civil Eng., Purdue Univ., West Lafayette, IN, USA
Abstract :
This paper presents a novel approach to LiDAR filtering of ALS (Airborne Laser Scanning) data. The main effort is devoted to simplify and overcome the shortcomings of the existing morphological filtering algorithms. The proposed approach is based on the morphological erosion operation. The filtering is applied only to the points of discontinuity, which are identified from their residuals. The threshold for identifying the points of discontinuity is adaptively determined during the iteration. Our experiments show the proposed approach produces satisfying results in different terrain conditions with minimal change of parameters.
Keywords :
data analysis; digital elevation models; optical radar; remote sensing by laser beam; terrain mapping; LiDAR filtering approach; adaptive morphological filtering algorithm; airborne laser scanning data; discontinuity analysis; iteration method; terrain condition; Buildings; Filtering; Filtering algorithms; Laser radar; Remote sensing; Surface morphology; Vegetation; DEM; DSM; LiDAR; Morphological filtering; filtering;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4577-1003-2
DOI :
10.1109/IGARSS.2011.6049729