A ground object classification method and device based on multispectral images and SAR images

Abstract

The invention relates to the field of ground object classification, in particular to a ground object classification method and device based on a multispectral image and an SAR image, and the method comprises the steps: obtaining the multispectral image of a preset area, and carrying out the multispectral image feature extraction of the multispectral image; obtaining a time sequence SAR image of apreset area, and performing time sequence SAR image feature extraction on the time sequence SAR image; and performing feature level fusion on the multispectral image features and the time sequence SARimage features to obtain a ground object classification result. According to the method and the device, the advantages of all-day working, all-weather working and short revisit period of the synthetic aperture radar SAR are utilized to obtain a long-time sequence SAR image, and the input feature dimension is increased; Characteristic level fusion is carried out on multispectral images and SAR images, and while multispectral information is fully utilized, ground feature interpretation is assisted by combining ground feature structures, textures and electromagnetic scattering characteristics reflected by time sequence SAR images.

Description

technical field [0001] The invention relates to the field of object classification, in particular to a method and device for object classification based on multispectral images and SAR images. Background technique [0002] In recent years, with the continuous development of satellite and imaging technology, there are more and more channels for obtaining optical remote sensing images and spaceborne synthetic aperture radar (SAR) images, which have become important data sources for large-scale earth observation. Due to its rich spectral information, optical images are easier to identify and detect targets. However, traditional object classification methods only use optical images. Due to the influence of weather, it is difficult to form a time series data set, which greatly limits the dimensionality of input features. As an active microwave remote sensing technology, spaceborne synthetic aperture radar (SAR) has the advantages of all-day and all-weather work, strong penetrati...

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a ground feature classification method and device based on multispectral images and SAR images, to at least solve the technical problem of poor classification accuracy of existing ground feature classification methods

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