Paper Info
Title
Detection of group of stationary targets using high-resolution SAR and EO images
Abstract
In this study, the target detection is performed using TerraSAR-X and WorldView-2 high-resolution satellite images, considering the characteristics of targets. The target of our interest is characterized by being stationary and appearing as cluster targets. After the target detection of SAR image based on CFAR (Constant False Alarm Rate) algorithm, a series of processing (target pixel clustering, network clustering and coherence analysis) is performed in order to reduce false alarms. However, the false alarm is still too quite large to narrow down the candidate areas. The fast and effective ellipse detection using Hough transform is developed and applied to an EO (Electro Optical) image. The result helps us to lower significantly the false alarm. Based on the detected ellipse and network analysis the candidates of cluster targets are successfully identified with very low false alarm.
Year
DOI
Venue
2014
10.1109/IGARSS.2014.6946795
IGARSS
Keywords
DocType
ISSN
high-resolution,electro-optical devices,synthetic aperture radar,pattern clustering,image fusion,image resolution,network clustering,effective ellipse detection,remote sensing by radar,pixel clustering,artificial satellites,electro-optical image,stationary target detection,Electro Optical (EO),geophysical image processing,cluster target detection,object detection,WorldView-2,constant false alarm rate,high resolution satellite images,Hough transform,CFAR algorithm,network analysis,Target detection,TerraSAR-X,EO,radar imaging,Synthetic Aperture Radar (SAR),Hough transforms,coherence analysis,high resolution SAR images
Conference
2153-6996
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
So-yeon Kim1198.45
DongHwan Cha200.34
Sang Wan Kim302.37