Viewshed simulation and optimization for digital terrain modelling with terrestrial laser scanning-Reference-Cited by-同舟云学术

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Viewshed simulation and optimization for digital terrain modelling with terrestrial laser scanning

Published:2020-06-09 Issue:16 Volume:41 Page:6409-6426
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Starek Michael J.¹²,Chu Tianxing¹²,Mitasova Helena³,Harmon Russell S.³

Affiliation:

1. Department of Computing Sciences, Texas A&M University-Corpus Christi, Corpus Christi, TX, USA

2. Conrad Blucher Institute for Surveying and Science, Texas A&M University-Corpus Christi, Corpus Christi, TX, USA

3. Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC, USA

Funder

the U.S. Department of Commerce-National Oceanic

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2020.1752952

Reference37 articles.

1. A Comparative Study of Simulated Annealing and Genetic Algorithm for Solving the Travelling Salesman Problem

2. Efficient viewshed computation on terrain in external memory

3. A Simulated Annealing-based parallel multi-objective approach to vehicle routing problems with time windows

4. Landslide monitoring using multitemporal terrestrial laser scanning for ground displacement analysis

5. Simulated annealing with thresheld convergence

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1. Method and Experiment for Quantifying Local Features of Hard Bottom Contours When Driving Intelligent Farm Machinery in Paddy Fields;Agronomy;2023-07-23

2. Using airborne lidar and machine learning to predict visibility across diverse vegetation and terrain conditions;International Journal of Geographical Information Science;2023-07-12

3. Methods and experiments for collecting information and constructing models of bottom-layer contours in paddy fields;Computers and Electronics in Agriculture;2023-04

4. Investigation of the digital elevation model creating accuracy depending on the terrestrial laser scanning density;Geodesy and Cartography;2023-02-20

5. Metaheuristics for the optimization of Terrestrial LiDAR set-up;Automation in Construction;2023-02

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