SRSF-GAN: A Super-Resolution-Based Spatial Fusion With GAN for Satellite Images With Different Spatial and Temporal Resolutions-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

SRSF-GAN: A Super-Resolution-Based Spatial Fusion With GAN for Satellite Images With Different Spatial and Temporal Resolutions

Published:2023 Issue: Volume:61 Page:1-19
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhao Qinyu¹^ORCID,Ji Luyan²^ORCID,Su Yonggang¹^ORCID,Zhao Yongchao²,Shi Jiancheng³^ORCID

Affiliation:

1. College of Electronic and Information Engineering, Hebei University, Baoding, China

2. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

3. National Space Science Center, Chinese Academy of Sciences, Beijing, China

Funder

Second Tibetan Plateau Scientific Expedition and Research Program

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10304182.pdf?arnumber=10304182

Reference53 articles.

1. Use of MODIS and Landsat time series data to generate high-resolution temporal synthetic Landsat data using a spatial and temporal reflectance fusion model

2. Unmixing-based multisensor multiresolution image fusion

3. A flexible spatiotemporal method for fusing satellite images with different resolutions

4. Blocks-removed spatial unmixing for downscaling MODIS images

5. Smoothing and Differentiation of Data by Simplified Least Squares Procedures.

Cited by 2 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. STINet: Vegetation Changes Reconstruction Through a Transformer-Based Spatiotemporal Fusion Approach in Remote Sensing;IEEE Transactions on Geoscience and Remote Sensing;2024

2. DiffusionLSTM: A Framework for Image Sequence Generation and Its Application to Oil Spill Monitoring and Prediction;IEEE Transactions on Geoscience and Remote Sensing;2024

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