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Sample generation based on a supervised Wasserstein Generative Adversarial Network for high-resolution remote-sensing scene classification

Wei Han, Lizhe Wang, Ruyi Feng, Lang Gao, Xiaodao Chen, Ze Deng, Jia Chen, Peng Liu

2020Information Sciences46 citationsDOI

Topics & Concepts

DiscriminatorComputer scienceClassifier (UML)Artificial intelligenceSample (material)Generator (circuit theory)Convolutional neural networkPattern recognition (psychology)Generative adversarial networkRemote sensingData miningDeep learningTelecommunicationsChemistryPower (physics)ChromatographyPhysicsGeologyDetectorQuantum mechanicsRemote-Sensing Image ClassificationAdvanced Image Fusion TechniquesAdvanced Image and Video Retrieval Techniques
Sample generation based on a supervised Wasserstein Generative Adversarial Network for high-resolution remote-sensing scene classification | Litcius