Remote sensing image fusion method, system and related components

Abstract

The invention discloses a remote sensing image fusion method. The fusion method comprises the following steps: preprocessing a training sample to obtain a training data set; inputting the training data set into a feature extraction neural network to obtain the full-color feature information and the multi-spectral feature information; training the feature fusion neural network to obtain fusion features and coding feature maps by means of all panchromatic feature information and all multi-spectral feature information training features; inputting the fusion features and the coding feature maps into an image reconstruction neural network, and performing reconstructing operation by utilizing the inverse convolution layer of the image reconstruction neural network to obtain a high-resolution multi-spectral image, so that the image reconstruction neural network is trained; and constructing a depth neural network model, carrying out remote sensing image fusion operation by means of the depth neural network model. According to the method, the quality of the fused panchromatic image and the multi-spectral image can be improved. The invention further discloses a remote sensing image fusion system, a computer readable storage medium and electronic equipment, having the above beneficial effects.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a remote sensing image fusion method and system, a computer-readable storage medium and an electronic device. Background technique [0002] Multi-sensor remote sensing systems can provide users with massive images with high spatial resolution, high spectral resolution, and high temporal resolution. However, since each image data has its inherent characteristics and specific application fields, how to integrate information from various types of remote sensing images, make up for the lack of single remote sensing image information, and comprehensively utilize the advantages of each remote sensing image has become a current issue. problems that urgently need to be resolved. [0003] In the prior art, fusion technologies of panchromatic images and multispectral images mainly include the IHS (Intensity-Hue-Saturation) method based on element replacement, and the wavelet transform meth...

AI Technical Summary

Problems solved by technology

The image fused by the existing technology can only be a trade-off between high spatial resolution and high spectral resolution, and it is impossible to obtain a fused image with both high spatial resolution and high spectral resolution

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