This paper presents a one-dimensional scanning algorithm that allows improving the quality of images that were using aerial photography to monitor minerals and the state of the subsurface. Also, a software module was developed that implements the presented algorithm, the main advantages of which are the simplicity of the mathematical apparatus, the required number of low-resolution images, equal to two, to obtain a high-resolution image, and resistance to interference and noise.
This paper presents a one-dimensional scanning algorithm that allows improving the quality of images that were using aerial photography to monitor minerals and the state of the subsurface. Also, a software module was developed that implements the presented algorithm, the main advantages of which are the simplicity of the mathematical apparatus, the required number of low-resolution images, equal to two, to obtain a high-resolution image, and resistance to interference and noise.
Based on the averaging principle, an algorithm for subpixel processing of an aerospace image is developed to increase spatial resolution. With it, a high-resolution image can be gotten by processing several original shots with a lower resolution. Input information is a series of aerospace images that are offset relative to one another by half a pixel. There is one generated image with increased resolution appears as the result of the processing.
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