NDLI: A progressive morphological filter for removing nonground measurements from airborne LIDAR data

Content Provider	IEEE Xplore Digital Library
Author	Keqi Zhang Shu-Ching Chen Whitman, D. Mei-Ling Shyu Jianhua Yan Chengcui Zhang
Copyright Year	1980
Abstract	Recent advances in airborne light detection and ranging (LIDAR) technology allow rapid and inexpensive measurements of topography over large areas. This technology is becoming a primary method for generating high-resolution digital terrain models (DTMs) that are essential to numerous applications such as flood modeling and landslide prediction. Airborne LIDAR systems usually return a three-dimensional cloud of point measurements from reflective objects scanned by the laser beneath the flight path. In order to generate a DTM, measurements from nonground features such as buildings, vehicles, and vegetation have to be classified and removed. In this paper, a progressive morphological filter was developed to detect nonground LIDAR measurements. By gradually increasing the window size of the filter and using elevation difference thresholds, the measurements of vehicles, vegetation, and buildings are removed, while ground data are preserved. Datasets from mountainous and flat urbanized areas were selected to test the progressive morphological filter. The results show that the filter can remove most of the nonground points effectively.
Sponsorship	IEEE Geoscience and Remote Sensing Society IEEE URSI
Starting Page	872
Ending Page	882
Page Count	11
File Size	4049353
File Format	PDF
ISSN	01962892
Volume Number	41
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-04-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Filters Laser radar Vegetation mapping Area measurement Surfaces Digital elevation models Floods Predictive models Terrain factors Clouds
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Electrical and Electronic Engineering

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