Linear feature detection and enhancement in noisy images via the Radon transform
Pattern Recognition Letters
A new formulation for the Karhunen-Loeve expansion
Signal Processing
Linear Features Detection in SAR Images for Urban Analysis
SIBGRAPI '02 Proceedings of the 15th Brazilian Symposium on Computer Graphics and Image Processing
A high performance parallel Radon based OFDM transceiver design and simulation
Digital Signal Processing
A N-Radon Based OFDM Trasceivers Design and Performance Simulation Over Different Channel Models
Wireless Personal Communications: An International Journal
Extracting buildings by using the generalized multi directional discrete radon transform
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
| Hi-index | 0.08 |
The purpose of this article is to present a new process for ship wake detection in synthetic aperture radar (SAR) images. Most of detection algorithms uses the Radon transform. In fact, due to its properties, this approach is particularly suited for such a detection. The main originality of our work is the wedding between the Radon transform and a filtering method used here to interpolate the image in a rotating reference system, introduced by the Radon transform. This filtering method is the stochastic matched filtering technique, which allows to maximize the signal to noise ratio after process. Because of the amount of calculus this method implies, we used a new formulation based on the signal expansion into discrete cosine transform. Experimental results on SIR-C/X-SAR and ERS SAR images are presented and compared to those obtained using some classical approaches.