Fusion method of full color-multispectral remote sensing images

Abstract

The invention discloses a fusion method of a full color image and a multispectral image. The method comprises the following steps: obtaining the overlapping region of the full color image and the multispectral image; performing multi-scale decomposition on the full color image to obtain a multi-scale image sequence of the full color image; analyzing the multispectral image based on a spectrum distinguishing feature analysis method, extracting a target spectrum distinguishing feature of the multispectral image and generating a multiband spectrum distinguishing feature image D; selecting three wavebands from the image D to generate a pseudo-color image; and performing multi-scale fusion on the full color image and the pseudo-color image. According to the method disclosed by the invention, the spectrum distinguishing feature analysis method is used for extracting the spectrum distinguishing feature of the target, and the multi-scale fusion method is used for performing gradual function on the spectrum distinguishing feature in the multispectral image and the detail information in the full color image to distinguish and recognize the target more easily. The fusion method disclosed by the invention can be extensively applied in such application systems as target identification, land use classification, thematic map drawing, map updating, and the like.

Description

technical field [0001] The invention relates to the technical fields of remote sensing image processing, information fusion, target recognition and the like, in particular to a feature-level fusion method based on panchromatic images and multispectral images. Background technique [0002] Image fusion is to combine the advantages or complementarity of information contained in images from different sources of the same scene taken at the same time to generate new images, and to obtain a more accurate and comprehensive understanding of the scene and target, which can be widely used in target recognition. , land use classification, thematic map production and map update and other application areas. The optical image characteristics of the target are the closest to human vision, and optical remote sensing images are the most widely used image types. Due to hardware constraints, the same sensor cannot acquire optical satellite images with high spatial resolution and high spectral...

AI Technical Summary

Problems solved by technology

Discovering the essential characteristics of the target from the many bands of the multi-spectral image is the key to the feature-level fusion of panchromatic images and multi-spectral images, but there is no mature technology at home and abroad

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