publication . Article . 2017

Application of Artificial Neural Networks to Ship Detection from X-Band Kompsat-5 Imagery

Jeong-In Hwang; Sung-Ho Chae; Daeseong Kim; Hyung-Sup Jung;
Open Access English
  • Published: 01 Sep 2017 Journal: Applied Sciences (issn: 2076-3417, Copyright policy)
  • Publisher: MDPI AG
Abstract
For ship detection, X-band synthetic aperture radar (SAR) imagery provides very useful data, in that ship targets look much brighter than surrounding sea clutter due to the corner-reflection effect. However, there are many phenomena which bring out false detection in the SAR image, such as noise of background, ghost phenomena, side-lobe effects and so on. Therefore, when ship-detection algorithms are carried out, we should consider these effects and mitigate them to acquire a better result. In this paper, we propose an efficient method to detect ship targets from X-band Kompsat-5 SAR imagery using the artificial neural network (ANN). The method produces the ship...
Subjects
free text keywords: synthetic aperture radar (SAR), ship detection, artificial neural network (ANN), Kompsat-5, Technology, T, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
Powered by OpenAIRE Open Research Graph
Any information missing or wrong?Report an Issue