Automation of Aerial and Satellite Image Interpretation

DOI

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Alexandra Solovyova
AU  - Aleksander Kuchuganov
PY  - 2016/05
DA  - 2016/05
TI  - Automation of Aerial and Satellite Image Interpretation
BT  - Proceedings of the 2016 Conference on 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  - 10.2991/itsmssm-16.2016.4
ID  - Solovyova2016/05
ER  -