Reconstruction of 3D models of infrastructure objects from satellite images based on typed elements

M. Kazaryan; A. Richter; A. Gvozdev; A. Murynin; V. Kozub; D. Pukhovsky; M. Shakhramanyan; E. Semenishchev

doi:10.1117/12.2641134

26 October 2022 Reconstruction of 3D models of infrastructure objects from satellite images based on typed elements

M. Kazaryan, A. Richter, A. Gvozdev, A. Murynin, V. Kozub, D. Pukhovsky, M. Shakhramanyan, E. Semenishchev

Proceedings Volume 12269, Remote Sensing Technologies and Applications in Urban Environments VII; 122690J (2022) https://doi.org/10.1117/12.2641134
Event: SPIE Remote Sensing, 2022, Berlin, Germany

Conference Poster

Abstract

The paper describes an approach to restoring a three-dimensional model of rigid objects from a single satellite image based on informative classes identified from the results of machine learning, which include railway rails and poles, roofs and walls of buildings, shadows of poles and buildings, and others. The proposed algorithms take into account various conditions for the presence of certain classes in the image, identified by the results of machine learning, as well as the conditions for the absence of metadata on the spatial resolution and spatial orientation of the shooting and the Sun (shooting angle, scanning azimuth, etc.).

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M. Kazaryan, A. Richter, A. Gvozdev, A. Murynin, V. Kozub, D. Pukhovsky, M. Shakhramanyan, and E. Semenishchev "Reconstruction of 3D models of infrastructure objects from satellite images based on typed elements", Proc. SPIE 12269, Remote Sensing Technologies and Applications in Urban Environments VII, 122690J (26 October 2022); https://doi.org/10.1117/12.2641134

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