Name
Title | ||
|---|---|---|
Target detection in maritime search and rescue using SVD and frequency domain characteristics |
Abstract | ||
|---|---|---|
A target detection method based on SVD and frequency domain characteristics in maritime search and rescue is proposed. The method can select maritime search and rescue targets from textured sea scenes. Firstly, intensity component is obtained and is decomposed using SVD. The first 80% singular components are combined to represent the dominant pattern of input image. Secondly, spectral residual approach and phase spectrum approach are applied to the difference between intensity component and corresponding dominant pattern. The resulting saliency maps show the salient region in maritime search and rescue visual scene and there by target detection performed. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICMLC.2011.6016763 | ICMLC |
Keywords | Field | DocType |
maritime search and rescue,phase spectrum approach,spectral residual approach,engineering computing,marine engineering,svd,singular value decomposition,intensity component,spectral residual,phase spectrum,target detection,object detection,frequency domain characteristics,singular components,saliency maps,input image dominant pattern,frequency domain,frequency domain analysis,strontium,computational modeling,computer model,visualization,spectrum,clutter | Frequency domain,Residual,Object detection,Singular value decomposition,Computer vision,Search and rescue,Pattern recognition,Computer science,Clutter,Salience (neuroscience),Visualization,Artificial intelligence | Conference |
Volume | Issue | ISSN |
2 | null | 2160-133X |
ISBN | Citations | PageRank |
978-1-4577-0305-8 | 0 | 0.34 |
References | Authors | |
5 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lei Ren | 1 | 1 | 2.03 |
| Chaojian Shi | 2 | 24 | 6.74 |
| Xin Ran | 3 | 1 | 1.70 |