Application of Intelligent Interpolation Methods for DTM Generation of Forest Areas Based on LiDAR Data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Instrumentation,Geography, Planning and Development
Link
http://link.springer.com/article/10.1007/s41064-017-0025-0/fulltext.html
Reference65 articles.
1. Asakereh H (2008) Kriging interpolation method in the rain, case study: interpolation rain 1998/3/17 Iran. Geogr Dev 12:25–42
2. Axelsson P (1999) DEM generation from laser scanner data using adaptive TIN models. Int Arch Photogramm Remote Sens 33(Part B4):110–117
3. Azizi Z, Najafi A, Sadeghian S (2014) Forest road detection using LiDAR data. J For Res 25(4):975–980
4. Bagheri H, Sadeghian S, Sadjadi Y (2014) The assessment of using an intelligent algorithm for the interpolation of elevation in the DTM generation. Photogramm Fernerkund Geoinf 3:197–208
5. Baligh JA, Zoej MJV, Mohammadzadeh M, Sadeghian S (2011) A novel filtering algorithm for bare-earth extraction from airborne laser scanning data using an artificial neural network. IEEE J Sel Topics Appl Earth Observ Remote Sens 4(4):836–843
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. An adaptive iterative reweighted filtering methodology for urban MLS dataset;Journal of Spatial Science;2024-05-27
2. STCD-EffV2T Unet: Semi Transfer Learning EfficientNetV2 T-Unet Network for Urban/Land Cover Change Detection Using Sentinel-2 Satellite Images;Remote Sensing;2023-02-23
3. Point cloud does matter. Selected issues of using airborne LiDAR elevation data in geomorphometric studies of rugged sandstone terrain under forest – Case study from Central Europe;Geomorphology;2022-09
4. Extraction of individual trees based on Canopy Height Model to monitor the state of the forest;Trees, Forests and People;2022-06
5. Modeling Forest Canopy Cover: A Synergistic Use of Sentinel-2, Aerial Photogrammetry Data, and Machine Learning;Remote Sensing;2022-03-17
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3