Object-based change detection from satellite imagery by segmentation optimization and multi-features fusion
Author:
Funder
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2017.1308033
Reference54 articles.
1. Comparison of relative radiometric normalization methods using pseudo-invariant features for change detection studies in rural and urban landscapes
2. An object-based change detection method accounting for temporal dependences in time series with medium to coarse spatial resolution
3. Automatic analysis of the difference image for unsupervised change detection
4. Automatic change detection in high-resolution remote-sensing images by means of level set evolution and support vector machine classification
5. A new change-detection method in high-resolution remote sensing images based on a conditional random field model
Cited by 27 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. Unsupervised Change Detection in HR Remote Sensing Imagery Based on Local Histogram Similarity and Progressive Otsu;Remote Sensing;2024-04-12
2. Change detection in VHR Remote Sensing Images by automatic sample selection and progressive classification;International Journal of Remote Sensing;2023-11-02
3. ESDSCNet: an enhanced shallow feature difference and semantic context network for remote sensing change detection: with building change detection as a case;International Journal of Remote Sensing;2023-06-18
4. A Small Sample-Based Multiclass Change Detection Method Using Change Vector Analysis With Adaptive Weight Gaussian Mixture Model;IEEE Transactions on Geoscience and Remote Sensing;2023
5. A review of multi-class change detection for satellite remote sensing imagery;Geo-spatial Information Science;2022-10-20
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