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We address a novel neural network (NN) computing-based approach to the problem of feature enhanced (FE) fusion of remote sensing (RS) imagery acquired with different coherent radar/SAR sensing modalities. The novel proposition consists in adapting the Hopfield-type maximum entropy NN (MENN) computational framework to solving the FE image recovery inverse problems with adaptive multiple sensor data...
A focusing system for a 300 GHz radar with two target distances (5 m and 10 m) is proposed, having 1 cm resolution in both cases. The focusing system is based on a gaussian telescope scheme and it has been designed using gaussian beam quasi-optical propagation theory with a homemade Matlab analysis tool. It has been translated into a real focusing system based on two elliptical mirrors and a plane...
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