Method for fusing unmanned aerial vehicle image and multispectral image based on Gram-Schmidt

Abstract

The invention discloses a method for fusing unmanned aerial vehicle image and multispectral image based on Gram-Schmidt transformation, and method comprises the steps: two sets of individual multiband images including multispectral low spatial resolution remote-sensing images and tri-band high spatial resolution unmanned aerial vehicle visible light images with the same pixel sizes can be acquired through image preprocessing; multiple linear regression, reconstruction and Gram-Schmidt transformation are performed on the remote-sensing images, remote-sensing image GS constituent can be obtained, the same reconstruction and Gram-Schmidt transformation are performed on the unmanned aerial vehicle images, and unmanned aerial vehicle GS constituent can be obtained; gradient filtering is performed on the unmanned aerial vehicle GS constituent, texture information is obtained and is added to 1-4 GS constituent of the remote-sensing images with a certain weight; Gram-Schmidt inverse transformation is performed on an enhanced result, redundant information can be removed, and final fused images can be obtained. According to the invention, limitation of fusing single band panchromatic data and multispectral images in a fusing method in the prior art can be extended, diversity of fusing data can be added, and a fusing method having spectrum retention and information quality which are considered at the same time can be realized.

Description

technical field [0001] The present invention relates to the field of remote sensing image processing data fusion, more specifically, to a Gram-Schmidt-based fusion method of UAV images and multi-spectral images, which is a multi-band image and multi-band image fusion technology, and is a combination of Extended fusion techniques of multiple linear regression, gradient filtering and Gram-Schmidt transform. [0002] technical background [0003] Image fusion technology, especially pixel-level image fusion technology, can efficiently and accurately acquire multi-spectral image data with high spatial resolution, making up for the spatial resolution and spectral resolution of image products due to the limitation of sensor and remote sensing platform performance The lack of compatibility further meets the needs of more demanding remote sensing interpretation tasks, so this technology has also attracted much attention and has been greatly developed. At the technical level, from IHS...

AI Technical Summary

Problems solved by technology

However, the current image fusion technology is mostly limited to the fusion of single-band data and multi-band remote sensing images in terms of technology and data types; while UAV optical images are basically red, green and blue (RGB) three-band data. The fusion technology means cannot make full use of the effective information of all three bands

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