A Knowledge-Based System for Recognizing Man-Made Objects in Aerial Images

Abstract

A description is given of a knowledge-based vision system for recognizing and classifying man-made objects in aerial images. Images are interpreted and image object descriptors are created, based on model-driven high-level vision processing. Knowledge of various low-level vision techniques, and their applicability to generic applications are used to dynamically select specific low-level vision techniques for image segmentation. Terrain map and feature information is used as an adjunct by the low-level vision to assist in image segmentation, and by high-level vision for image interpretation. The authors have used a unique software architecture based on standard knowledge-based approaches in which knowledge is represented explicitly and is separated from program control. Off-the-shelf tools including LISP and the ART language from Inference Corporation, running on a Symbolics 3675, were used. The current system has been tested both with low-resolution forward-looking infrared (FLIR) images for target cueing and higher-resolution airport scenes for scene analysis.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Cite

Text

Smyrniotis and Dutta. "A Knowledge-Based System for Recognizing Man-Made Objects in Aerial Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988. doi:10.1109/CVPR.1988.196223

Markdown

[Smyrniotis and Dutta. "A Knowledge-Based System for Recognizing Man-Made Objects in Aerial Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988.](https://mlanthology.org/cvpr/1988/smyrniotis1988cvpr-knowledge/) doi:10.1109/CVPR.1988.196223

BibTeX

@inproceedings{smyrniotis1988cvpr-knowledge,
  title     = {{A Knowledge-Based System for Recognizing Man-Made Objects in Aerial Images}},
  author    = {Smyrniotis, Chuck and Dutta, Kalyan},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1988},
  pages     = {111-117},
  doi       = {10.1109/CVPR.1988.196223},
  url       = {https://mlanthology.org/cvpr/1988/smyrniotis1988cvpr-knowledge/}
}