Interpretation of Latent Codes in InfoGAN to Manipulate Rotation of SAR Targets
Author:
Affiliation:
1. Xidian University,School of Electronic Engineering,Xi’an,China
2. University of Montenegro,Faculty of Electrical Engineering,Podgorica,Montenegro
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9983661/9983662/09983790.pdf?arnumber=9983790
Reference12 articles.
1. Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis
2. GAN-Based SAR-to-Optical Image Translation with Region Information
3. Target Recognition by Means of Polarimetric ISAR Images
4. Infogan: Interpretable representation learning by information maximizing generative adversarial nets;chen;Advances in neural information processing systems,2016
5. Efficient Simulation of hybrid stripmap/spotlight SAR raw signals from extended scenes
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