Change detection in very high-resolution images based on ensemble CNNs-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Change detection in very high-resolution images based on ensemble CNNs

Published:2020-03-02 Issue:12 Volume:41 Page:4757-4779
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Zhang Xinlong¹,Fan Rui¹,Ma Lei¹,Liao Xiaohan²,Chen Xiuwan³

Affiliation:

1. China Academy of Electronics and Information Technology, China Electronics Technology Group Corporation, Beijing, China

2. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science, Beijing, China

3. School of Earth and Space Sciences, Peking University, Beijing, China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2020.1723818

Reference37 articles.

1. An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images

2. Monitoring forest changes in Borneo on a yearly basis by an object-based change detection algorithm using SPOT-VEGETATION time series

3. Automatic change detection of buildings in urban environment from very high spatial resolution images using existing geodatabase and prior knowledge

4. Difference representation learning using stacked restricted Boltzmann machines for change detection in SAR images

5. Comparison of pixel- and object-based classification in land cover change mapping

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. Wader hunt optimization based UNET model for change detection in satellite images;International Journal of Information Technology;2023-03

2. A novel unsupervised multiple change detection method for VHR remote sensing imagery using CNN with hierarchical sampling;International Journal of Remote Sensing;2022-07-03

3. Remote Sensing Recognition and Classification of Forest Vegetation Based on Image Feature Depth Learning;Mobile Information Systems;2022-06-28

4. High Similarity Image Recognition and Classification Algorithm Based on Convolutional Neural Network;Computational Intelligence and Neuroscience;2022-04-12

5. Selecting change image for efficient change detection;IET Signal Processing;2021-12-24

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