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Multi-band image synchronous fusion and enhancement method based on improved WGA-GP

An image synchronization, multi-band technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problem of loss of detail information noise, etc., to achieve the effect of obvious edge and high definition

Active Publication Date: 2020-09-22
ZHONGBEI UNIV
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Problems solved by technology

Studies have shown that these two methods will lose details or introduce noise

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  • Multi-band image synchronous fusion and enhancement method based on improved WGA-GP
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  • Multi-band image synchronous fusion and enhancement method based on improved WGA-GP

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Embodiment Construction

[0028] The multi-band image synchronous fusion and enhancement method based on the improved WGAN-GP includes the following steps:

[0029] The first step is to design and build a generative confrontation network: design and build a generative confrontation network structure. The generative confrontation network is divided into two models: a generator and a discriminator.

[0030] The generator network structure consists of three parts: feature extraction (encoding) sub-network, feature combination sub-network and decoding sub-network. The feature extraction (encoding) sub-network is used to extract the features of different band source images, and the feature combination sub-network is used to combine The features of different band source images extracted by the feature extraction sub-network are combined in the high-level feature space, and the decoding sub-network converts the feature map obtained by combining the feature combination sub-network into the final fusion image, a...

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Abstract

The invention relates to a multi-band image synchronous fusion and enhancement method. Multi-band image fusion and image super-resolution are synchronously realized; the invention especially relates to a multi-band image synchronous fusion and enhancement method based on improved WGAN-GP. The method comprises the following steps: designing and constructing a generative adversarial network, whereinthe network structure is composed of a conceptual feature extraction (coding) network, a feature combination network and a decoding network, a generative model is obtained through dynamic balance training of a generator and a discriminator, and a fusion enhancement result is obtained. According to the invention, the end-to-end synchronous fusion and enhanced neural network of multi-band images isrealized, so that a high-quality fusion result is fused from a low-resolution source image.

Description

technical field [0001] The invention relates to a multi-band image synchronous fusion and enhancement method, that is, a network model is used to simultaneously realize multi-band image fusion and image super-resolution, specifically a multi-band image synchronous fusion and enhancement method based on improved WGAN-GP. Background technique [0002] Multi-band image fusion aims to combine complementary information in different band images of the same scene into a more informative and comprehensive image for subsequent target extraction and decision making. In recent years, image fusion technology has developed rapidly, and many effective fusion methods have been proposed one after another. However, due to the limitations of imaging sensors and signal transmission bandwidth, the resolution of most source images is limited, resulting in a large part of the collected infrared and visible light images being unavailable. Not high resolution. For low-resolution source images, alt...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50G06T3/40G06K9/62G06N3/04G06N3/08
CPCG06T5/50G06T3/4053G06N3/08G06T2207/20221G06N3/045G06F18/25
Inventor 李大威田嵩旺蔺素珍杨博张海松
Owner ZHONGBEI UNIV
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