Panchromatic and multispectral image real-time fusion method based on cooperative processing of CPU and GPU

Abstract

The invention discloses a panchromatic and multispectral image real-time fusion method based on cooperative processing of CPU and GPU and GPU cooperative processing, which is used for quickly fusing full-color and multispectral data to generate a fused image with high spatial resolution and high spectral resolution. All steps of panchromatic and multispectral fusion are completed in a memory, the steps with the large calculation amount are mapped to a GPU, fusion efficiency can be greatly improved while fusion precision is guaranteed, the strict geometric corresponding relation between panchromatic and multispectral is considered through RFM, and the method has the advantages of being high in robustness and high in robustness. Geometric deviation possibly existing between panchromatic multispectrums is limited to the maximum extent through differential correction, so that the registration effect of panchromatic and multispectrums can be optimal, and finally a fusion image with the optimal effect is obtained through a multi-scale SFIM fusion method and a panchromatic spectral decomposition image fusion method. The invention is suitable for fast fusion processing requirements of large-data-volume sensor data.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a method for real-time fusion of panchromatic and multispectral images based on CPU and GPU cooperative processing. Background technique [0002] From the perspective of how the sensor works, image data is divided into multispectral images and panchromatic band images. Panchromatic band image data has relatively high spatial resolution but low spectral resolution; multispectral image data has high spectral resolution but low spatial resolution due to the use of narrow band light sources for imaging. The panchromatic multi-spectral fusion method is to combine the advantages of the two, so that the fused image has both high spatial resolution and high spectral resolution, which is beneficial to later interpretation and processing. [0003] For the camera, the detection pixel, referred to as the detector, can only maintain the signal-to-noise ratio when it receives enoug...

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Problems solved by technology

[0006] In order to solve the problem of low efficiency in the process of full-color and multi-spectral fusion of large data volumes, the present invention is mainly based on CPU / GPU collaborative processing, and the entire processing flow is carried out in the memory. The CPU is responsible for process control and parallel rule division, and the GPU is responsible for parallel processing

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