Coupling of deep learning and remote sensing: a comprehensive systematic literature review
Author:
Affiliation:
1. College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, China
2. Department of Geological Sciences, Jahangirnagar University, Dhaka, Bangladesh
Funder
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2022.2161856
Reference179 articles.
1. Convolutional neural networks for satellite remote sensing at coarse resolution. Application for the SST retrieval using IASI
2. Convolutional Neural Network for the Semantic Segmentation of Remote Sensing Images
3. Learning a Multi-Branch Neural Network from Multiple Sources for Knowledge Adaptation in Remote Sensing Imagery
4. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
5. Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community
Cited by 22 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. Land Use Classification using Time-Series Sentinel-2 Images with Deep Learning Ensemble Network;2024-09-05
2. The effect of parameter adjustment in sago palm classification-based convolutional neural network (CNN) model;Research in Agricultural Engineering;2024-07-16
3. SwinYOLOv7: Robust ship detection in complex synthetic aperture radar images;Applied Soft Computing;2024-07
4. Mapping the distribution and dynamics of coastal aquaculture ponds using Landsat time series data based on U 2 -Net deep learning model;International Journal of Digital Earth;2024-04-24
5. A review of remote sensing image segmentation by deep learning methods;International Journal of Digital Earth;2024-03-18
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