Title :
Context Exploitation in Intelligence, Surveillance, and Reconnaissance for Detection Algorithms
Author :
Tucker, Jonathan D. ; Stanfill, S. Robert
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.
Keywords :
feature extraction; geophysical image processing; image registration; rendering (computer graphics); ISR applications; ISR missions; context exploitation; context masks rendering; detection algorithms; detection density; geo-registered imagery; geographically aligned context; ground areas; intelligence-surveillance-reconnaissance missions; peak suppression refinement; sensor data complex analysis; traffic terrain; Buildings; Context; Detection algorithms; Detectors; Process control; Rail transportation; Rendering (computer graphics);
Conference_Titel :
Applications and Computer Vision Workshops (WACVW), 2015 IEEE Winter
Conference_Location :
Waikoloa, HI
DOI :
10.1109/WACVW.2015.15