Structured representation-based robust agile-beam LADAR imaging

LAser Detection And Ranging (LADAR) imagers operate by measuring the distance to an object by timing how long a transmitted pulse takes to make a round trip between the transmitter and the receiver. LADAR images are often characterized by a multiplicative noise known as speckle which often makes the interpretation of data difficult. In this paper, we propose a more general formulation of the problem of reconstructing the piecewise smooth and texture component (speckle) directly from a set of LADAR measurements. The proposed method is evaluated on the real data collected by using a new agile-beam LADAR architecture.