MSF: A Multi-Scale Fusion Generative Adversarial Network for SAR-to-Optical Image Translation-Reference-Cited by-同舟云学术

MSF: A Multi-Scale Fusion Generative Adversarial Network for SAR-to-Optical Image Translation

Published:2024-07-07 Issue: Volume:27 Page:9058-9061
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Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Chen YongKang¹,Zhu Zuguo²,Huang Yan¹,Wang Peng¹,Huang Bo³,Mura Mauro Dalla⁴

Affiliation:

1. Geological Exploration Technology Institute of Jiangsu Province Jiangsu,Jiangsu Province Engineering Research Center of Airborne Detecting and Intelligent Perceptive Technology,Nanjing,China,210049

2. ChangJiang Survey, Planning, Design and Research Co., Ltd.,Wuhan,China,430010

3. The University of Hong Kong,Department of Geography,Hong Kong,China,999077

4. Grenoble Institute of Technology,Grenoble Images Parole Signals Automatics Laboratory (GIPSA-Lab),Saint Martin d’Hères,France,38402

Funder

Nanjing University

Natural Science Foundation of Jiangsu Province

Jiangsu Association for Science and Technology

Anhui University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10640486.pdf?arnumber=10640486

Reference12 articles.

1. Urban land-use mapping using a deep convolutional neural network with high spatial resolution multispectral remote sensing imagery

2. Object-based classification of cloudy coastal areas using medium-resolution optical and SAR images for vulnerability assessment of marine disaster

3. SAR Target Detection Based on SSD With Data Augmentation and Transfer Learning

4. Dynamic Range Compression and Pseudo-color Presentation Based on Retinex for SAR Images

5. Colorization for Polarimetric SAR Image Based on Scattering Mechanisms