MLFF-GAN: A Multilevel Feature Fusion With GAN for Spatiotemporal Remote Sensing Images-Reference-Cited by-同舟云学术

MLFF-GAN: A Multilevel Feature Fusion With GAN for Spatiotemporal Remote Sensing Images

Published:2022 Issue: Volume:60 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Song Bingze¹^ORCID,Liu Peng¹^ORCID,Li Jun²^ORCID,Wang Lizhe²^ORCID,Zhang Luo¹,He Guojin¹,Chen Lajiao¹,Liu Jianbo¹

Affiliation:

1. Eight Department, Aerospace Information Research Institute and the School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China

2. Guangdong Key Laboratory for Urbanization and Geo-Simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou, 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

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09781347.pdf?arnumber=9781347

Reference58 articles.

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3. A deep translation (GAN) based change detection network for optical and SAR remote sensing images

4. Discriminative Semi-Supervised Generative Adversarial Network for Hyperspectral Anomaly Detection

5. A new sensor bias-driven spatio-temporal fusion model based on convolutional neural networks

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