Segmentation of radar images by combining watershed and Fisher techniques for target classification
| Autor: | M. S. Bouhlel, Ali Khenchaf, Abdelmalek Toumi, Ali Khalfallah, B. Belkhaoui |
|---|---|
| Přispěvatelé: | Lab-STICC_ENSTAB_MOM_PIM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Télécom Bretagne-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université européenne de Bretagne - European University of Brittany (UEB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS), Lab-STICC_ENSTAB_CID_TOMS, Sciences and Technologies of Image and Telecommunications (SETIT), Faculté des Sciences de Sfax, Université de Sfax - University of Sfax-Université de Sfax - University of Sfax, Billon-Coat, Annick |
| Rok vydání: | 2013 |
| Předmět: |
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 |
| Zdroj: | CODIT'2013 CODIT'2013, May 2013, Hammamet, Tunisia |
| DOI: | 10.1109/codit.2013.6689517 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|