First, train a SAR target classification network on MSTAR dataset with MatConvNet and use early-stop. Then, transform the weights and inputs to FPGA using COE files generated by Matlab. Next, design ...

Abstract: Currently, machine learning-based methods for remote sensing pansharpening have progressed rapidly. However, existing pansharpening methods often do not fully exploit differentiating ...

College of Information and Communication Engineering, Harbin Engineering University, Harbin, China. MTI band-stop filter as a “single channel”, followed by detection is relatively simple. When the ...