THE RISE OF THE INFORMATION VALUE OF URBAN LANDSCAPE SATELLITE IMAGES
Abstract
The possibility of computer rise of information value of images of objects of the urban landscape taken with limited resolution cameras or in sub-optimal shooting conditions is considered. A high-frequency digital filtering algorithm with a windowing is used. The selection of the most appropriate window for Google Maps images was performed. It was established that the classical Gaussian window is the optimal one. The developed method of treatment of not enough clear satellite images allows controlling the relative level of higher harmonics in the spectrum of the image, which determines the quality of visualization of small picture elements. Simplicity and ease of working with the program distinguishes it from similar packages of universal engineering purposes. Therefore, this development may be recommended for use in geographic information systems, as well as in the educational process in the departments of universities of proper profile. In particular, this may be the creation of virtual laboratory models for student practical training. Keywords: satellite image, definition, digital filtering, windowing, Gaussian window.Downloads
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