Using Generic Knowledge in Analysis of Aerial Scenes: A Case Study
Proceedings of the Eleventh International Joint Conference on Artificial Intelligence. Vision and Robotics. Pages 1642-1647.
Abstract
Our goal is to produce high-quality symbolic descriptions from aerial scenes. We have chosen to work in the domain of large commercial airport complexes. Such scenes have a variety offeatures such as the transportation network, building structures, and mobile objects. This paper concentrates on detection and description of the transportation network (runways and taxiways). We illustrate the complexities of this problem and how it can be solved by using geometrical context and generic airport domain knowledge.
@inproceedings{ijcai1989p261,
title = {Using Generic Knowledge in Analysis of Aerial Scenes: A Case Study},
author = {Huertas, Andres and Cole, William and Nevatia, Ramakant},
booktitle = {Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence, {IJCAI-89}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {N. S. Sridharan},
pages = {1642--1647},
year = {1989},
month = {8},
note = {Vision and Robotics},
url = {https://ijcai.org/proceedings/1989/261},
}
TY - CPAPER TI - Using Generic Knowledge in Analysis of Aerial Scenes: A Case Study AU - Huertas, Andres AU - Cole, William AU - Nevatia, Ramakant T2 - Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89 PB - International Joint Conferences on Artificial Intelligence PY - 1989 SP - 1642 EP - 1647 UR - https://ijcai.org/proceedings/1989/261 ER -Copied
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