A Novel Unsupervised Object-Level Crop Rotation Detection With Time-Series Dual-Polarimetric SAR Data
Author:
Affiliation:
1. School of Geosciences and Info-Physics, Central South University, Changsha, China
2. College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China
3. Zhuhai Big Data Institute, Zhuhai, China
Funder
Natural Science Foundation of Hunan Province
National Natural Science Foundation of China
Innovation Foundation for Postgraduate of Central South University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/9651998/09847129.pdf?arnumber=9847129
Reference12 articles.
1. Similarity Matrix Entropy for Multitemporal Polarimetric SAR Change Detection
2. A New Crop Classification Method Based on the Time-Varying Feature Curves of Time Series Dual-Polarization Sentinel-1 Data Sets
3. A Dempster–Shafer Relaxation Approach to Context Classification
4. A novel crop classification method based on ppfSVM classifier with time-series alignment kernel from dual-polarization SAR datasets
5. Quantifying the informativeness of similarity measurements;brockmeier;J Mach Learn Res,2017
Cited by 7 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. Identification of Congenital Valvular Murmurs in Young Patients Using Deep Learning-Based Attention Transformers and Phonocardiograms;IEEE Journal of Biomedical and Health Informatics;2024-04
2. Improving crop rotation classification using a random forest model incorporating spatial heterogeneity;Geocarto International;2024-01
3. Integrating Multidimensional Feature Indices and Phenological Windows for Mapping Cropping Patterns in Complex Agricultural Landscape Regions;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024
4. A Case Study of Amplitude-Based Change Detection Methods Using Synthetic Aperture Radar Images;KOREAN J REMOTE SENS;2023
5. Semi-supervised PolSAR image classification method based on contrastive learning;2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR);2023-09-22
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