Context Exploitation in Intelligence, Surveillance, and Reconnaissance for Detection Algorithms
Abstract
Intelligence, Surveillance, and Reconnaissance (ISR) missions involve complex analysis of sensor data that can benefit from the exploitation of geographically aligned context. In this paper we discuss our approach to utilizing geo-registered imagery and context for the purpose of aiding ISR applications. Specifically this includes rendering context masks on imagery, increasing the speed at which detection algorithms process data, providing a way to intelligently control detection density for given ground areas, identifying difficult traffic terrain, and peak suppression refinement.
Cite
Text
Tucker and Stanfill. "Context Exploitation in Intelligence, Surveillance, and Reconnaissance for Detection Algorithms." IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2015. doi:10.1109/WACVW.2015.15Markdown
[Tucker and Stanfill. "Context Exploitation in Intelligence, Surveillance, and Reconnaissance for Detection Algorithms." IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2015.](https://mlanthology.org/wacvw/2015/tucker2015wacvw-context/) doi:10.1109/WACVW.2015.15BibTeX
@inproceedings{tucker2015wacvw-context,
title = {{Context Exploitation in Intelligence, Surveillance, and Reconnaissance for Detection Algorithms}},
author = {Tucker, Jonathan D. and Stanfill, S. Robert},
booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision Workshops},
year = {2015},
pages = {13-20},
doi = {10.1109/WACVW.2015.15},
url = {https://mlanthology.org/wacvw/2015/tucker2015wacvw-context/}
}