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Segmentation of radar images by combining watershed and Fisher techniques for target classification
- Source :
- CODIT'2013, CODIT'2013, May 2013, Hammamet, Tunisia
- Publication Year :
- 2013
- Publisher :
- IEEE, 2013.
-
Abstract
- International audience; Abstract--In the area of monitoring and observation by sea, land or air by the use of information is an important task for the decision. We are interested in the present work on the information processing for the recognition of radar targets from ISAR images. To provide the information necessary for the recognition phase, we propose an approach radar image processing based on the combination algorithms Fisher and watershed. This combination allows us to obtain closed shapes (edge). Then, we proceed to a shape modeling based on the Fourier descriptor. Finally, we use the KNN classifier to evaluate the performance of our approach. The obtained results seem good.
- Subjects :
- Synthetic aperture radar
Computer science
KNN classification
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
0211 other engineering and technologies
02 engineering and technology
law.invention
law
Radar imaging
0202 electrical engineering, electronic engineering, information engineering
Segmentation
Computer vision
Radar
021101 geological & geomatics engineering
Contextual image classification
business.industry
[SPI.ELEC] Engineering Sciences [physics]/Electromagnetism
Images radar ISAR
Fisher
020206 networking & telecommunications
Pattern recognition
Image segmentation
Watershed
Fourier descriptor
Inverse synthetic aperture radar
[SPI.ELEC]Engineering Sciences [physics]/Electromagnetism
Statistical classification
ComputingMethodologies_PATTERNRECOGNITION
Computer Science::Computer Vision and Pattern Recognition
Artificial intelligence
business
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2013 International Conference on Control, Decision and Information Technologies (CoDIT)
- Accession number :
- edsair.doi.dedup.....36b3490647cc732a520ed0a0089229b3