Clean Noisy Image Decomposition For Self Supervised GAN Speckle Reduction For Synthetic Aperture Radar
Invention type: Technology
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Case number: #22903L
A neural network is used to remove noise from a data signal. The noise removed by the neural network is compared to simulated noise that represents noise expected to be present in the data signal. The results of the comparison are used to train the neural network and improve its ability to remove noise from the data signal.
Researchers
Departments: Computer Science & Artificial Intelligence Lab, Lincoln Laboratory
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Communication Systems: Wireless / Computer Science: Networking & Signals
Impact Areas: Connected World, Advanced Materials
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neural network systems and methods for removing noise from signals
United States of America | Published application
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