Improving land cover classification using input variables derived from a geographically weighted principal components analysis-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Improving land cover classification using input variables derived from a geographically weighted principal components analysis

Published:2016-09 Issue: Volume:119 Page:347-360
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Comber Alexis J.,Harris Paul,Tsutsumida Narumasa

Funder

Biotechnology and Biological Sciences Research Council of the UK

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference59 articles.

1. Geostatistical classification for remote sensing: an introduction;Atkinson;Comput. Geosci.,2000

2. Spatially weighted supervised classification for remote sensing;Atkinson;Int. J. Appl. Earth Obs. Geoinf.,2004

3. A geostatistically weighted k-NN classifier for remotely sensed imagery;Atkinson;Geogr. Anal.,2010

4. Geographically weighted summary statistics – a framework for localised exploratory data analysis;Brunsdon;Comput. Environ. Urban Syst.,2002

5. Geographically weighted discriminant analysis;Brunsdon;Geogr. Anal.,2007

Cited by 28 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. Study on Tianjin Land-Cover Dynamic Changes, Driving Factor Analysis, and Forecasting;Land;2024-05-22

2. Assessing heat vulnerability in Philadelphia using geographically weighted principal component analysis (GWPCA): A geospatial big data-driven approach;International Journal of Applied Earth Observation and Geoinformation;2024-03

3. Spatial Modeling of Travel Demand Accounting for Multicollinearity and Different Sampling Strategies: A Stop‐Level Case Study;Journal of Advanced Transportation;2024-01

4. Exploring property orientation preferences and local variations;Property Management;2023-09-28

5. Integrating the Budyko framework with the emerging hot spot analysis in local land use planning for regulating surface evapotranspiration ratio;Journal of Environmental Management;2022-08

同舟云学术

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