
3D-MODELING INFRASTRUCTURE FACILITIES USING DEEP LEARNING BASED ON HIGH RESOLUTION SATELLITE IMAGES
(STEF92 Technology, 2020-09-20, O. G. Gvozdev, N. V. Kosheleva, V. A. Kozub, А. Б. Мурынин, Andrey Richter)
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The work describes a method for restoring three-dimensional models of rigid objects from one satellite image, based on the usage of convolutional neural network models. General requirements for reference and test satellite images are: seasonal shooting (lack of snow cover); images? geo-linking to railway infrastructure objects and to the general coordinate projection; presence of image metadata on survey and lighting conditions (geo-reference data and time of survey, photography and position of the Sun); visibilit...





