Cross-Domain Association Mining Based Generative Adversarial Network for Pansharpening-Reference-Cited by-同舟云学术

Cross-Domain Association Mining Based Generative Adversarial Network for Pansharpening

Published:2022 Issue: Volume:15 Page:7770-7783
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

He Lijun¹^ORCID,Zhang Wanyue¹,Shi Jiankang²,Li Fan¹^ORCID

Affiliation:

1. Shaanxi Key Laboratory of Deep Space Exploration Intelligent Information Technology, School of Information and Communications Engineering, Xi'an Jiaotong University, Xi'an, China

2. School of Automation Science and Engineering, Xi'an Jiaotong University, Xi'an, China

Funder

National Natural Science Foundation of China

Shaanxi Key Laboratory of Deep Space Exploration Intelligent Information Technology

Natural Science Foundation of Sichuan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9656571/09880485.pdf?arnumber=9880485

Reference57 articles.

1. Image Super-Resolution Using Deep Convolutional Networks

2. Generative Adversarial Network for Pansharpening With Spectral and Spatial Discriminators

3. PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-Sharpening

4. Residual Encoder–Decoder Conditional Generative Adversarial Network for Pansharpening

5. Psgan: A Generative Adversarial Network for Remote Sensing Image Pan-Sharpening

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