A residual convolutional neural network for polarimetric SAR image super-resolution-Reference-Cited by-同舟云学术

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A residual convolutional neural network for polarimetric SAR image super-resolution

Published:2020-03 Issue: Volume:161 Page:90-108
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Shen Huanfeng^ORCID,Lin Liupeng,Li Jie^ORCID,Yuan Qiangqiang^ORCID,Zhao Lingli

Funder

National Natural Science Foundation of China

Key Laboratory of Surveying and Mapping Science and Geospatial Information Technology of Ministry of Natural Resources

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference52 articles.

1. A three-component method for timely detection of land cover changes using polarimetric SAR images;Qi;ISPRS J. Photogramm. Remote Sens.,2015

2. Adam: A Method for Stochastic Optimization;Kingma,2015

3. Change detection matrix for multitemporal filtering and change analysis of SAR and PolSAR image time series;Lê;ISPRS J. Photogramm. Remote Sens.,2015

4. Damage assessment in urban areas using post-earthquake airborne PolSAR imagery;Zhao;Int. J. Remote Sens.,2013

5. Building Collapse Assessment by the Use of Postearthquake Chinese VHR Airborne SAR;Shi;IEEE Geosci. Remote Sens. Lett.,2015

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2. A GAN-based fast focusing method for circular SAR images;Heliyon;2024-07

3. Lightweight Super-Resolution Generative Adversarial Network for SAR Images;Remote Sensing;2024-05-18

4. Semantic information guided semi-supervised compact ISAR image super-resolution;Sixth Conference on Frontiers in Optical Imaging and Technology: Applications of Imaging Technologies;2024-04-30

5. Polarimetric SAR Image Super-resolution Based on Coded Polarimetric Contexture Matrix and a Dual-branch Network;2024 Photonics & Electromagnetics Research Symposium (PIERS);2024-04-21

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