Method for enabling signals and noise in hyperspectral remote sensing images to be separated

The invention relates to the field of remote sensing technology, in particular to an image processing method for enabling signals and noise in hyperspectral remote sensing images to be separated. The method for enabling the signals and the noise in the hyperspectral remote sensing images to be separated specifically comprises the following steps that by means of lowpass filtering and homogeneous partitioning, the signals and the noise are estimated respectively; according to the Bayes principle, quantitative calculation is carried out, and the dimensionality of the estimated signals and the dimensionality of the estimated noise are obtained; signal subspace and noise subspace are built, and by means of inclined subspace projection, signal components and noise components in the original hyperspectral remote sensing images are separated. According to the method for enabling the signals and the noise in the hyperspectral remote sensing images to be separated, the dimensionality of the estimated signals and the d