Hyperspectral remote sensing image small target detection method based on spectrum saliency

Abstract

The invention discloses a hyperspectral remote sensing image small target detection method based on spectrum saliency and belongs to the field of hyperspectral remote sensing images. When the method is used for target detection, local saliency is calculated with an improved Itti model by means of spectrum information and spatial information extracted from a hyperspectral image, and a local saliency map is constructed; then global saliency is calculated with an improved evolutionary programming method, and a global saliency map is constructed; finally, the local saliency map and the global saliency map are combined in a normalized mode to obtain an overall vision saliency map which is taken as the final target detection result. According to the method, a saliency model suitable for the hyperspectral image is established according to the spectrum saliency, image interested target detection is achieved based on comprehensive analysis of the spectral signature and spatial signature of the hyperspectral image, main contents of the image are highlighted, and image processing and analyzing complexity is reduced.

Description

technical field [0001] The present invention takes the hyperspectral remote sensing image as the research object, and establishes a saliency model of the hyperspectral image on the basis of comprehensive analysis of the spectral features and spatial features of the hyperspectral remote sensing image, and generates a spectral saliency map; on the basis of the saliency map Automatically extract significant targets, realize small target detection in hyperspectral images, and lay the foundation for target recognition, classification and retrieval in hyperspectral images. Background technique [0002] Hyperspectral Remote Sensing (Hyperspectral Remote Sensing) is a new type of earth observation technology developed in the 1980s. Ground objects reflect, absorb and radiate electromagnetic waves with their inherent characteristics. The radiation signal with high spectral resolution realizes the acquisition of surface information. Due to the high spatial correlation and high spectra...

AI Technical Summary

Problems solved by technology

Usually target detection requires certain prior information (such as ground truth measurement results and spectral database), but it is very difficult to obtain this prior information in practical applications, thus affecting the effective detection of targets

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