Abstract
The article discusses the possibility of using fuzzy masks in the problem of image georeferencing according to electronic maps. A new approach to membership assessment of the image fragment in fuzzy mask has been suggested. Fuzzy masks have been compared with binary masks by the accuracy of coregistration of image fragments and coastlines extracted from electronic maps. It’s shown that fuzzy masks allow taking into account brightness characteristics of water and land in different regions of the Earth at different times of day and year. The results of experimental studies confirm the efficiency of the offered approach to image georeferencing based on the fuzzy masks.
Highlights
Inaccurate measurement of satellite angular orientation leads to significant errors in image georeferencing
In geometric processing of images from Russian geostationary satellite “Elektro-L” coastlines extracted from electronic maps are used as reference objects for precise georeferencing [1]
Referential coastlines are represented as binary masks, where land is coded by unit and water is coded by zero
Summary
Inaccurate measurement of satellite angular orientation leads to significant errors in image georeferencing It is especially typical of geostationary satellites having a great height of an orbit. To reduce these errors, it is necessary to coregister objects in the image and their corresponding referential objects. In geometric processing of images from Russian geostationary satellite “Elektro-L” coastlines extracted from electronic maps are used as reference objects for precise georeferencing [1]. For the problem of precise image georeferencing we propose to replace binary masks of coastlines by fuzzy ones. Our purpose is to research the applicability of fuzzy masks, generated according to the shape of coastlines and brightness characteristics of water and land, in the problem of precise georeferencing
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