Unmanned aerial vehicle remote sensing image shadow removing method based on deep learning
A shadow removal and deep learning technology, applied in the field of remote sensing image processing, can solve problems such as blurred details, color distortion, color cast, etc., to achieve the effect of avoiding cumulative effects, accurately restoring results, and removing shadows
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[0041] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and implementation examples. It should be understood that the implementation examples described here are only for illustration and explanation of the present invention, and are not intended to limit this invention.
[0042] In the process of remote sensing imaging, the light is easily blocked by obstacles, resulting in shadows on the acquired images. UAVs can be used to collect shadowed and unshaded data pairs in the same area, build a shadow database, and use deep learning methods to learn its transformation relationship, realize the removal of shadows in images, and obtain real surface information.
[0043] please see figure 1 , a method for removing shadows from unmanned aerial vehicle remote sensing images based on deep learning provided by the prese...
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