Landslide mapping from multi-sensor data through improved change detection-based Markov random field-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Landslide mapping from multi-sensor data through improved change detection-based Markov random field

Published:2019-09 Issue: Volume:231 Page:111235
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Lu Ping,Qin Yuanyuan,Li Zhongbin,Mondini Alessandro C.,Casagli Nicola

Funder

National Key R&D Program of China

National Natural Science Foundation of China

International Consortium on Landslides

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference81 articles.

1. Principal component analysis;Abdi;Wiley Interdiscip. Rev. Comput. Stat.,2010

2. Automated spatiotemporal landslide mapping over large areas using rapideye time series data;Behling;Remote Sens.,2014

3. Derivation of long-term spatiotemporal landslide activity—a multi-sensor time series approach;Behling;Remote Sens. Environ.,2016

4. Landslides as a geomorphological proxy for climate change: a record from the Dolomites (northern Italy);Borgatti;Geomorph,2010

5. Graph cuts and efficient ND image segmentation;Boykov;Int. J. Comput. Vis.,2006

Cited by 123 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 ensemble neural network approach for space–time landslide predictive modelling;International Journal of Applied Earth Observation and Geoinformation;2024-08

2. Automated detection of landslide events from multi-source remote sensing imagery: Performance evaluation and analysis of YOLO algorithms;Journal of Earth System Science;2024-07-02

3. A context-structural feature decoupling change detection network for detecting earthquake-triggered damage;International Journal of Applied Earth Observation and Geoinformation;2024-07

4. Cross‐attention neural network for land cover change detection with remote sensing images;The Photogrammetric Record;2024-05-15

5. Detecting Coseismic Landslides in GEE Using Machine Learning Algorithms on Combined Optical and Radar Imagery;Remote Sensing;2024-05-13

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