Target contour extraction method based on full-color and hyperspectral image fusion

Abstract

The invention discloses a target contour extraction method based on fusion of a panchromatic image and a hyperspectral image, and the method comprises the steps: carrying out the sampling of the hyperspectral image to the same spatial resolution of the panchromatic image through interpolation, and obtaining a sampling image on the hyperspectral image; Weighting visible light and a near-infrared band of the sampling image on the hyperspectral image to obtain a low-resolution panchromatic image; generating a panchromatic and hyperspectral fusion image from the sampling image, the low-resolutionpanchromatic image and the panchromatic image on the hyperspectral image; calculating the class density and the distinction degree of each pixel of the panchromatic and hyper-spectral fusion image andthe product of the class density and the distinction degree of each pixel to obtain a central likelihood, and determining a central pixel; And dividing all pixels in the panchromatic and hyper-spectral fusion image into two categories according to the characteristic distances between the pixels and the central pixel, thereby obtaining the contour of the target. According to the invention, throughfusion of the panchromatic image and the hyperspectral image, the spatial resolution of the hyperspectral image is improved.

Description

technical field [0001] The invention relates to a method for extracting a target contour of a remote sensing image, in particular to a method for extracting a target contour based on fusion of panchromatic and hyperspectral images, and belongs to the technical field of digital image processing. Background technique [0002] Hyperspectral remote sensing images usually use tens to hundreds of continuous and subdivided spectral bands to simultaneously image ground objects in the visible, near-infrared, and mid-infrared regions of the electromagnetic spectrum. Its spectral resolution is very high, generally on the order of 10 nanometers. The spectral information of ground features recorded by hyperspectral images is extremely rich, and it plays an increasingly important role in fields such as mineral deposit detection, environmental and ocean monitoring, precision agriculture, forest survey, and national defense security. Although the spectral resolution of hyperspectral images...

AI Technical Summary

Problems solved by technology

On the other hand, there are very few target contour extraction methods for hyperspectral images, and the existing target contour extraction methods for panchromatic images mainly use the geometric characteristics of the target, which is not suitable for target contour extraction of hyperspectral images.

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