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Deep convolutional neural networks have achieved great success in computer vision and many other areas. They automatically extract translational-invariant spatial features and integrate with neural network-based classifier. This letter investigates the suitability and potential of deep convolutional neural network in supervised classification of polarimetric synthetic aperture radar (POLSAR) images...
In this paper, interferometric synthetic aperture radar (InSAR) data are utilized to extract the forestry damage information caused by typhoon over Tomakomai, Hokkaido, Japan. By computing the interferograms of two single-pass X-band SAR data before and after the typhoon, the change of their heights could be detected even the fallen tress were not cleared, and therefore, the damage level can then...
A new approach of imaging reconstruction of concealed targets from multi-angular scattering is presented. As the broadband stepped-frequency radar transmits planar wave from different azimuthal directions around the target, the backscattered electrical fields in both the amplitude and phase are obtained. The two-dimensional (2D) fast Fourier transform (FFT) algorithm for spline interpolation is adopted...
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