Abstract: A method of processing a remotely sensed multispectral or hyperspectral image captured in respect of an area of interest including a body of water so as to identify a submerged target, the method comprising obtaining (206), from hydrographic LiDAR measurements, data representative of water depth in respect of said body of water in said area of interest, performing (210) geo-rectification in respect of said hyperspectral image and said water depth data, applying a hydrologic radiative analysis process (211) to said multispectral or hyperspectral image so as to calculate, using said water depth data obtained from said hydrographic LiDAR measurements, data representative of (i) scattered solar radiation and (ii) spectral transmission between a surface of said body of water and a submerged target and subtracting (212) data representative of said scattered solar radiation from said multispectral or hyper spectral image and multiplying a resultant image by data representative of said spectral transmission so as to

Abstract: A system and method for hyperspectral image processing receives (202) partial hyperspectral image data representing a portion of a complete hyperspectral image. The method computes (204) estimated mean and covariance values for the partial hyperspectral image data, and executes (206) a hyperspectral image processing algorithm using the estimated mean and covariance values as estimates of global mean and covariance values for the complete hyperspectral image.