Proceedings of the 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine

Automation of Aerial and Satellite Image Interpretation

Authors
Alexandra Solovyova, Aleksander Kuchuganov
Corresponding Author
Alexandra Solovyova
Available Online May 2016.
DOI
https://doi.org/10.2991/itsmssm-16.2016.4How to use a DOI?
Keywords
aerial and satellite imagery, semantic network, fuzzy attributed graph, fuzzy logics, texture analysis, automated interpretation of images
Abstract
The paper describes a technique for the analysis and description of images and its application to the automated interpretation of aerial and satellite images. The image description is formed at the three levels of abstraction (simple, textural and significant objects). At each of the levels the quantitative and qualitative features of objects are determined using algorithms based on analytical geometry and fuzzy logics. The paper describes a software system for image semantic codification which implements the suggested technique. The results of the experiments on object detection are provided.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Information Technologies in Science, Management, Social Sphere and Medicine
Part of series
Advances in Computer Science Research
Publication Date
May 2016
ISBN
978-94-6252-196-4
ISSN
2352-538X
DOI
https://doi.org/10.2991/itsmssm-16.2016.4How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Alexandra Solovyova
AU  - Aleksander Kuchuganov
PY  - 2016/05
DA  - 2016/05
TI  - Automation of Aerial and Satellite Image Interpretation
BT  - Information Technologies in Science, Management, Social Sphere and Medicine
PB  - Atlantis Press
SP  - 15
EP  - 20
SN  - 2352-538X
UR  - https://doi.org/10.2991/itsmssm-16.2016.4
DO  - https://doi.org/10.2991/itsmssm-16.2016.4
ID  - Solovyova2016/05
ER  -