Name
Title | ||
|---|---|---|
Wavelets and decision trees for target detection over sea surface using Cosmo-Skymed SAR data |
Abstract | ||
|---|---|---|
We are investigating the combination of wavelets and decision trees to detect ships and other maritime surveillance targets from medium resolution SAR images. Wavelets have inherent advantages to extract image descriptors while decision trees are able to handle different data sources. In addition, our work aims to consider oceanic features such as ship wakes and ocean spills. In this incipient work, Haar and Cohen-Daubechies-Feauveau 9/7 wavelets obtain detailed descriptors from targets and ocean features and are inserted with other statistical parameters and wavelets into an oblique decision tree. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-24082-9_71 | ICHIT |
Keywords | Field | DocType |
statistical parameters,decision trees,information technology,remote sensing,image descriptors,wavelets,sar | Data source,Statistical parameter,Decision tree,Data mining,Oblique case,Computer science,Information technology,Haar,Visual descriptors,Wavelet | Conference |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rafael L. Paes | 1 | 0 | 1.69 |
| Aylton Pagamisse | 2 | 3 | 1.23 |