Shuffle GAN With Autoencoder: A Deep Learning Approach to Separate Moving and Stationary Targets in SAR Imagery.
Wei PuPublished in: IEEE Trans. Neural Networks Learn. Syst. (2022)
Keyphrases
- deep learning
- sar imagery
- target detection
- restricted boltzmann machine
- target recognition
- synthetic aperture radar
- infrared
- non stationary
- unsupervised learning
- moving target
- false alarms
- sar images
- hyperspectral
- target tracking
- weakly supervised
- urban areas
- visual search
- mental models
- object recognition
- model selection
- higher order
- moving objects