Title :
Target size prediction and verification by geometrical analysis and SE-WORKBENCH for ground target detection
Author :
Sungho Kim ; Sohyun Kim
Author_Institution :
Dept. of Electron. Eng., Yeungnam Univ., Daegu, South Korea
Abstract :
Conventional target detectors use filter kernel to enhance target signature and depress background clutter. It is important to use a predefined kernel size to enhance target detection performance and speed. This paper presents a geometrical analysis of ground target size using a set of target acquisition parameters and verifies predicted the target size by comparing with the output of commercial simulator (OKTAL SE-WORKBENCH).
Keywords :
geometry; image enhancement; object detection; OKTAL SE-WORKBENCH; background clutter; filter kernel; geometrical analysis; ground target detection; target acquisition parameters; target detection performance; target detection speed; target detectors; target size prediction; target size verification; Adaptive optics; Australia; Filter banks; Image edge detection; Image resolution; Optical imaging; Shape; Ground target detection; SE-WORKBENCH; filter size prediction; geometrical analysis; verification;
Conference_Titel :
Control, Automation and Systems (ICCAS), 2014 14th International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-8-9932-1506-9
DOI :
10.1109/ICCAS.2014.6987973
