A remote sensing image fusion method and system based on a deep residual neural network

A remote sensing image fusion and neural network technology, which is applied in the field of remote sensing image fusion, can solve the problem that the spatial resolution is not as good as that of panchromatic images, and achieve the effect of suppressing spectral distortion

Inactive Publication Date: 2019-05-17
ZHUHAI DAHENGQIN TECH DEV CO LTD
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Problems solved by technology

Although the spectral resolution of multispectral imagery is ideal, its spatial resolution

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  • A remote sensing image fusion method and system based on a deep residual neural network
  • A remote sensing image fusion method and system based on a deep residual neural network
  • A remote sensing image fusion method and system based on a deep residual neural network

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[0029] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in combination with specific examples and with reference to the accompanying drawings.

[0030] The present invention proposes a new remote sensing image fusion network-deep residual neural network based on deep learning which is currently being highly concerned by researchers. The network mainly utilizes convolutional neural networks (CNNs), and a deeper residual network is designed to extract more effective information for fusion. The main body of the deep residual neural network is composed of multiple convolutional layers and nonlinear activation layers, and a residual structure is added to the output layer of the network, so that the network can indirectly learn the relationship between input and output.

[0031] The embodiment of the present invention is composed of multispectral and panchromatic images ac...

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Abstract

The invention discloses a remote sensing image fusion method and system based on a deep residual neural network, and the method comprises the steps of carrying out the downsampling of corresponding multiples on a panchromatic image and a multispectral image, and obtaining a training sample; constructing a deep residual neural network, wherein the network is of a deep convolutional structure, and inputting a panchromatic image and a multispectral image into the deep residual neural network to sequentially pass through outputs obtained by a plurality of convolution modules and adding with the input multispectral image to form a residual structure; using a training sample and a random gradient descent algorithm for training a deep residual neural network, downsampling a multispectral image and a panchromatic image to be fused respectively by corresponding multiples, then inputting the multispectral image and the panchromatic image into the trained deep residual neural network, and obtaining a fused multispectral image with high spatial resolution. According to the invention, the respective key information of the two images can be integrated, and the spatial resolution of the multispectral image is improved.

Description

technical field [0001] The invention belongs to the field of remote sensing image processing, and relates to a method and system for fusing remote sensing images. Background technique [0002] Remote sensing imagery is the main form of information carried by earth observation satellites. It can fully record the electromagnetic wave reflection characteristics of surface objects, so it can be used in important fields such as urban change detection and natural disaster monitoring. Most satellites will obtain multispectral images and panchromatic images of the area at the same time when observing the surface. The multispectral images record the electromagnetic wave reflection characteristics of ground targets in multiple bands, while the panchromatic images only record the ground targets. Electromagnetic wave reflection characteristics in a single band. Although the spectral resolution of multispectral images is ideal, its spatial resolution is not as good as that of panchromat...

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Application Information

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IPC IPC(8): G06T5/50
Inventor 邓练兵
Owner ZHUHAI DAHENGQIN TECH DEV CO LTD
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