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Classification of O...
Classification of Oil Rigs in SAR Images Using RPCA-Based Preprocessing
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- Moreira, André R. (författare)
- Aeronautics Institute of Technology, Brazil
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- Ramos, Lucas P. (författare)
- Blekinge Tekniska Högskola,Institutionen för matematik och naturvetenskap
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- da Silva, Fabiano G. (författare)
- Navy Acoustic and Electronic Warfare Center, Brazilian Navy, Brazil
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- Alves, Dimas I. (författare)
- Aeronautics Institute of Technology, Brazil
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- Machado, Renato (författare)
- Aeronautics Institute of Technology, Brazil
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers (IEEE), 2024
- 2024
- Engelska.
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Ingår i: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR. - : Institute of Electrical and Electronics Engineers (IEEE). - 9783800762873 ; , s. 432-437
- Relaterad länk:
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https://urn.kb.se/re...
Abstract
Ämnesord
Stäng
- This paper uses a signal separation method called Robust Principal Component Analysis (RPCA) as a pre-processing technique to improve the classification of oil rigs in Synthetic Aperture Radar (SAR) images. After the pre-processing method, features are extracted from the images using the VGG-16 convolutional neural network. These features guide classification through Support Vector Machine (SVM), Neural Networks, and Logistic Regression algorithms. The experiments used SAR images from the Sentinel-1 system, C-band, and VH polarization. Early results highlight that preprocessing improves classification accuracy compared to conventional methods. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Nyckelord
- Image classification
- Image enhancement
- Neural networks
- Principal component analysis
- Radar imaging
- Synthetic aperture radar
- Convolutional neural network
- Feature guides
- Oil-rigs
- Pre-processing method
- Pre-processing techniques
- Robust principal component analysis
- Separation methods
- Signal separation
- Support vectors machine
- Synthetic aperture radar images
- Support vector machines
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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