Hyperspectral image saliency object detection method based on spectral gradient and hierarchical structure

Abstract

The invention discloses a hyperspectral image saliency object detection method based on a spectral gradient and a hierarchical structure, so as to solve the technical problem of large calculation amount of the existing hyperspectral image saliency object detection method. According to the technical scheme, a spectral gradient map is firstly generated; an image segmentation region is then generated; a saliency detection model based on an image hierarchical structure is built; a saliency calculation method based on Background priors and edge features is then built; and a saliency map result is calculated. Through calculating the spectral gradient on a spectral dimension of the original hyperspectral image, the spectral gradient features of the image are extracted, and adverse effects caused by uneven illumination are weakened. A simple linear iterative clustering algorithm (SLIC) is used to generate super pixels, the hyperspectral image is segmented, the calculation process is accelerated, the saliency is measured through calculating the spectral feature contrast between segmentation areas, and the calculation amount is small.

Description

technical field [0001] The invention relates to a hyperspectral image salient target detection method, in particular to a hyperspectral image salient target detection method based on spectral gradient and hierarchical structure. Background technique [0002] Hyperspectral image is the image data obtained by recording the spectral information of various ground objects observed in the field of view by using an imaging spectrometer. With the maturity of hyperspectral imaging technology, imaging equipment has greatly improved its spectral resolution and spatial resolution. As a result, subjects such as object detection, recognition, and tracking, which were originally carried out on conventional images, can gradually be extended to hyperspectral data. Related research on the problem of salient object detection in hyperspectral images is still in the development stage. [0003] The existing hyperspectral image salient target detection methods mainly use the Itti model, which re...

AI Technical Summary

Problems solved by technology

In addition, the existing methods all rely on a single model, which cannot eliminate the main difficulties faced in the study of saliency detection in hyperspectral images. There are methods that all depend on a single model

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