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- da Silva, Fabiano G.Aeronautics Institute of Technology, BRA (author)
Hybrid Feature Extraction Based on PCA and CNN for Oil Rig Classification in C-Band SAR Imagery
- Article/chapterEnglish2022
Publisher, publication year, extent ...
- SPIE - International Society for Optical Engineering,2022
- electronicrdacarrier
Numbers
- LIBRIS-ID:oai:DiVA.org:bth-24195
- https://urn.kb.se/resolve?urn=urn:nbn:se:bth-24195URI
- https://doi.org/10.1117/12.2636274DOI
Supplementary language notes
- Language:English
- Summary in:English
Part of subdatabase
- SwePubSwePub
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Notes
- open access
- Feature extraction techniques play an essential role in classifying and recognizing targets in synthetic aperture radar (SAR) images. This article proposes a hybrid feature extraction technique based on convolutional neural networks and principal component analysis. The proposed method is used to extract features of oil rigs and ships in C-band synthetic aperture radar polarimetric images obtained with the Sentinel-1 satellite system. The extracted features are used as input in the logistic regression (LR), support vector machine (SVM), random forest (RF), naive Bayes (NB), decision tree (DT), and k-nearest-neighbors (kNN) classification algorithms. Furthermore, the statistical tests of Kruskal-Wallis and Dunn were considered to show that the proposed extraction algorithm has a significant impact on the performance of the classifiers. © 2022 SPIE.
Subject headings and genre
- TEKNIK OCH TEKNOLOGIER Naturresursteknik Fjärranalysteknik hsv//swe
- ENGINEERING AND TECHNOLOGY Environmental Engineering Remote Sensing hsv//eng
- C-Band
- CNN
- Feature Extraction
- Machine Learning
- PCA
- SAR
- Sentinel-1
- Target Classification
- Classification (of information)
- Convolutional neural networks
- Decision trees
- Extraction
- Image classification
- Logistic regression
- Nearest neighbor search
- Principal component analysis
- Radar imaging
- Remote sensing
- Support vector regression
- C-bands
- Feature extraction techniques
- Features extraction
- Hybrid-feature extraction
- Machine-learning
- Oil-rigs
- Synthetic Aperture Radar Imagery
- Synthetic aperture radar
Added entries (persons, corporate bodies, meetings, titles ...)
- Ramos, Lucas P.Aeronautics Institute of Technology, BRA (author)
- Palm, BrunaBlekinge Tekniska Högskola,Institutionen för matematik och naturvetenskap(Swepub:bth)bxp (author)
- Alves, Dimas I.Aeronautics Institute of Technology, BRA (author)
- Pettersson, Mats,1966-Blekinge Tekniska Högskola,Institutionen för matematik och naturvetenskap(Swepub:bth)mtp (author)
- Machado, RenatoAeronautics Institute of Technology, BRA (author)
- Aeronautics Institute of Technology, BRAInstitutionen för matematik och naturvetenskap (creator_code:org_t)
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- In:Proceedings of SPIE - The International Society for Optical Engineering: SPIE - International Society for Optical Engineering
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