Multisensor inversion with high-performance FPGA computation

An FPGA-based reconfigurable generalized inversion processor is developed for real-time physical property retrievals of the atmosphere, land and ocean. The processor is based on Generalized and ocean. The processor is based on Generalized Non-Linear Regression algorithm and trained with radiative transfer simulations and observations for autonomous detection of satellite measurement signatures and retrievals of atmospheric physical properties. The FPGA approach is faster than traditional computing methods in orders of magnitude. The generalized inversion processor is able to automatically adapt to multi-platform sensors, eliminate redundant algorithm development and provide a vehicle for autonomous onboard image analysis and physics-based data compressions.