Abstract: With the impetus of supervised deep learning-based classifiers requiring extensive human-annotated training sets, polarimetric synthetic aperture (PolSAR) image classification has advanced ...

Abstract: In this paper, an optimization algorithm based on deep reinforcement learning is proposed to optimize complex networks in fixed-time convergence of continuous action iteration dilemmas. The ...