Hyperspectral imaging method and system using a flock of sensors

Abstract

A method and system for hyperspectral imaging uses a flock of at least two sensors which provide images of an overlapped region-of-interest in at least two different spectral bands. The latter may include a visual band and one or more infrared bands. Using a variety of calibration, registration, super-resolution, and data fusion algorithms, a signal processor corrects and analyzes the images to form a hyperspectral image cube with high spatial resolution. The signal processor typically is in communication with or integrated with a tracking station, and it may be spaceborne, airborne, shipborne, or ground-based. An exemplary neural network is provided for implementation of the method for hyperspectral imaging.

Dependencies are inferred from the claim text.