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Journal of Computer and Systems Sciences International

Erschienen in:

01.10.2023 | ARTIFICIAL INTELLIGENCE

Retrieving Structural Information on Anthropogenic Objects from Single Aerospace Images

verfasst von: N. V. Antipova, O. G. Gvozdev, V. A. Kozub, A. B. Murynin, A. A. Richter

Erschienen in: Journal of Computer and Systems Sciences International | Ausgabe 3/2023

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Abstract

A method for the three-dimensional reconstruction of buildings from a single aerospace image, which consists of two stages—the extraction of semantic information and the restoration of the geometry—is described. The topology of artificial neural networks by the semantic segmentation of building components and reference objects is considered. In the second stage, some mathematical transformations are presented: by calculating the photometric parameters of an image based on metadata or reference objects, by converting spatial coordinates into axial and flat image coordinates, etc. Two examples are shown for calculating photometric parameters and a three-dimensional building model from a single satellite image and an aerial photograph.

Vorheriger Artikel Reinforcement Learning for Model Problems of Optimal Control

Nächster Artikel Privileged Learning Using Regularization in the Problem of Evaluating the Human Posture

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Titel: Retrieving Structural Information on Anthropogenic Objects from Single Aerospace Images
verfasst von: N. V. Antipova
O. G. Gvozdev
V. A. Kozub
A. B. Murynin
A. A. Richter
Publikationsdatum: 01.10.2023
Verlag: Pleiades Publishing
Erschienen in: Journal of Computer and Systems Sciences International / Ausgabe 3/2023
Print ISSN: 1064-2307
Elektronische ISSN: 1555-6530
DOI: https://doi.org/10.1134/S1064230723030012

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