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Deep-Learning-Based Spatio-Temporal-Spectral Integrated Fusion of Heterogeneous Remote Sensing Images

  • Published:2022 Issue: Volume:60 Page:1-15
  • ISSN:0196-2892
  • Container-title:IEEE Transactions on Geoscience and Remote Sensing
  • language:
  • Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Jiang Menghui1ORCID,Shen Huanfeng2ORCID,Li Jie3ORCID

Affiliation:

1. School of Resource and Environmental Sciences, Wuhan University, Wuhan, China

2. School of Resource and Environmental Sciences and the Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China

3. School of Geodesy and Geomatics, Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

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. Deep spatial–spectral difference network with heterogeneous feature mutual learning for sea fog detection;International Journal of Applied Earth Observation and Geoinformation;2024-09

2. TemPanSharpening: A multi-temporal Pansharpening solution based on deep learning and edge extraction;ISPRS Journal of Photogrammetry and Remote Sensing;2024-05

3. Diffusion models for spatio-temporal-spectral fusion of homogeneous Gaofen-1 satellite platforms;International Journal of Applied Earth Observation and Geoinformation;2024-04

4. A Unified Generative Adversarial Network With Convolution and Transformer for Remote Sensing Image Fusion;IEEE Transactions on Geoscience and Remote Sensing;2024

5. SOSSF: Landsat-8 Image Synthesis on the Blending of Sentinel-1 and MODIS Data;IEEE Transactions on Geoscience and Remote Sensing;2024
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