Enhanced Autocorrelation-Based Algorithms for Filtering Airborne Lidar Data over Urban Areas-Reference-Cited by-同舟云学术

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Enhanced Autocorrelation-Based Algorithms for Filtering Airborne Lidar Data over Urban Areas

Published:2016-05 Issue:2 Volume:142 Page:04015008
ISSN:0733-9453
Container-title:Journal of Surveying Engineering
language:en
Short-container-title:J. Surv. Eng.

Author:

Shirowzhan Sara¹,Lim Samsung²,Trinder John³

Affiliation:

1. Ph.D. Candidate, School of Civil and Environmental Engineering, Univ. of New South Wales, Sydney 2052, Australia (corresponding author).

2. Associate Professor, School of Civil and Environmental Engineering, Univ. of New South Wales, Sydney 2052, Australia.

3. Professor, School of Civil and Environmental Engineering, Univ. of New South Wales, Sydney 2052, Australia.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29SU.1943-5428.0000149

Reference42 articles.

1. LIDAR density and linear interpolator effects on elevation estimates

2. Local Indicators of Spatial Association-LISA

3. Processing of laser scanner data—algorithms and applications

4. DEM generation from laser scanner data using adaptive TIN models;Axelsson P.;Int. Arch. Photogramm. Remote Sens.,2000

5. Evaluating error associated with lidar-derived DEM interpolation

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