CIG-STF: Change Information Guided Spatiotemporal Fusion for Remote Sensing Images-Reference-Cited by-同舟云学术

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CIG-STF: Change Information Guided Spatiotemporal Fusion for Remote Sensing Images

Published:2024 Issue: Volume:62 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:

You Mingzhu¹,Meng Xiangchao¹^ORCID,Liu Qiang¹^ORCID,Shao Feng¹^ORCID,Fu Randi¹^ORCID

Affiliation:

1. Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China

Funder

National Natural Science Foundation of China

Zhejiang Provincial Natural Science Foundation of China

Natural Science Foundation of Ningbo Municipality

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10560018.pdf?arnumber=10560018

Reference53 articles.

1. Land cover change detection by integrating object-based data blending model of Landsat and MODIS

2. A conceptual framework to define the spatial resolution requirements for agricultural monitoring using remote sensing

3. Landsat-8: Science and product vision for terrestrial global change research

4. MODIS: a global imaging spectroradiometer for the Earth Observing System

5. Supervised-unsupervised combined deep convolutional neural networks for high-fidelity pansharpening

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