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Articles 1 - 5 of 5
Full-Text Articles in Physical Sciences and Mathematics
Ontology Matching Techniques: A 3-Tier Classification Framework, Nelson Leung, Seung Kang, Sim Lau, Joshua Fan
Ontology Matching Techniques: A 3-Tier Classification Framework, Nelson Leung, Seung Kang, Sim Lau, Joshua Fan
Joshua P Fan
No abstract provided.
Ontology Matching Techniques: A 3-Tier Classification Framework, Nelson Leung, Seung Kang, S Lau, Joshua Fan
Ontology Matching Techniques: A 3-Tier Classification Framework, Nelson Leung, Seung Kang, S Lau, Joshua Fan
Joshua P Fan
No abstract provided.
Compressed Sensing-Based Frequency Selection For Classification Of Ground Penetrating Radar Signals, Wenbin Shao, Abdesselam Bouzerdoum, Son Lam Phung
Compressed Sensing-Based Frequency Selection For Classification Of Ground Penetrating Radar Signals, Wenbin Shao, Abdesselam Bouzerdoum, Son Lam Phung
Professor Salim Bouzerdoum
In this paper we present an automatic classification system for ground penetrating radar (GPR) signals. The system extracts the magnitude spectra at resonant frequencies and classifies them using support vector machines. To locate the resonant frequencies, we propose an approach based on compressed sensing and orthogonal matching pursuit. The performance of the system is evaluated by classifying GPR traces from different ballast fouling conditions. The experimental results show that the proposed approach, compared to the approach of using frequencies at local maxima, represents the GPR signal more efficiently using a small number of coefficients, and obtains higher classification accuracy. 2012 …
Distinction Of Lakes And Rivers On Satellite Images Using Mathematical Morphology, Przemysław Kupidura
Distinction Of Lakes And Rivers On Satellite Images Using Mathematical Morphology, Przemysław Kupidura
Przemysław Kupidura
This paper concerns the application of mathematical morphology for object-oriented classification of satellite images. The example of distinguishing different bodies of water using the author-made algorithm will be presented. Different types of water bodies like lakes and rivers are easy to differentiate when visually interpreted. However, it is much more difficult to differentiate using a traditional, pixel-based classification process. Mathematical morphology operations, which take into account such important features of objects like shape and size, allow these two types of water bodies to be distinguished in object classification. The proposed algorithm allows one practically error-free classification. The results show, that …
Cyfrowe Przetwarzanie Zdjęć Satelitarnych, Przemysław Kupidura, Piotr Podlasiak
Cyfrowe Przetwarzanie Zdjęć Satelitarnych, Przemysław Kupidura, Piotr Podlasiak
Przemysław Kupidura
No abstract provided.