Adaptive algorithm for classifying LiDAR data into water and land points by multifeature statistics-Reference-Cited by-同舟云学术

Adaptive algorithm for classifying LiDAR data into water and land points by multifeature statistics

Published:2016-12-01 Issue:4 Volume:10 Page:045020
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:en
Short-container-title:J. Appl. Remote Sens

Author:

Wei Li-Xin¹,Yang Biao²,Jiang Jian-Ping³,Cao Guan-Zhong³

Affiliation:

1. Hohai University, Institute of Remote Sensing and Spatial Information Engineering, School of Earth Sciences and Engineering, No. 8 Focheng West Road, Nanjing 211100, ChinabChangjiang Water Resources Commission, Lower Changjiang River Bureau of Hydrological and Water Resources Survey, No. 66 Dama Road, Nanjing 210011, China

2. Hohai University, Institute of Remote Sensing and Spatial Information Engineering, School of Earth Sciences and Engineering, No. 8 Focheng West Road, Nanjing 211100, China

3. Changjiang Water Resources Commission, Lower Changjiang River Bureau of Hydrological and Water Resources Survey, No. 66 Dama Road, Nanjing 210011, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference26 articles.

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3. Experimental comparison of filter algorithms for bare-Earth extraction from airborne laser scanning point clouds

4. Large-scale classification of water areas using airborne topographic lidar data

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