DocumentCode
3713721
Title
Synthetic SAR/IR database generation for sensor fusion-based A.T.R.
Author
Jin-Ju Won;Sungho Kim;Youngrea Cho;Woo-Jin Song;So-Hyun Kim
Author_Institution
Department of Electronic Engineering Yeungnam University, Gyeonsan, Korea
fYear
2015
Firstpage
421
Lastpage
424
Abstract
Recently, the sensor fusion research has been in progress for effective ground target detection. SAR and IR sensors are complementary because the IR sensor has a high resolution, SAR sensor is not effected by the weather. In research, The DB of the SAR/IR sensor is essential. But database(DB) of the SAR/IR sensor dose not exist or is not released. It is also difficult to acquire the DB directly because of cost and environmental issues. Therefore, this paper proposed a method to build the DB with synthetic image generation simulator OKTAL-SE. We generate day and night images, and compare the features.
Keywords
"Atmospheric modeling","Robot sensing systems","Image generation","Meteorology","Computational modeling","Sensor fusion","Object detection"
Publisher
ieee
Conference_Titel
Ubiquitous Robots and Ambient Intelligence (URAI), 2015 12th International Conference on
Type
conf
DOI
10.1109/URAI.2015.7358893
Filename
7358893
Link To Document