Adaptive morphological filtering for DEM generation

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原文链接

NETL
IEEE

外文摘要：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。

外文关键词：

DEMDSMLiDARMorphological filteringfiltering

作者：

Kim, KyoHyouk、Shan, Jie

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作者单位：

School of Civil Engineering, Purdue University, West Lafayette, IN 47907, USA

会议地点：

Vancouver(CA)

会议母体文献：

2011 IEEE International Geoscience & Remote Sensing Symposium

页码：

p.2539-2542

出版时间：

2011

DOI：

10.1109/IGARSS.2011.6049729