Conference paper
Haussdorff and hellinger for colorimetric sensor array classification
Department of Informatics and Mathematical Modeling, Technical University of Denmark1
Cognitive Systems, Department of Informatics and Mathematical Modeling, Technical University of Denmark2
Department of Micro- and Nanotechnology, Technical University of Denmark3
Surface Engineering, Department of Micro- and Nanotechnology, Technical University of Denmark4
Development of sensors and systems for detection of chemical compounds is an important challenge with applications in areas such as anti-terrorism, demining, and environmental monitoring. A newly developed colorimetric sensor array is able to detect explosives and volatile organic compounds; however, each sensor reading consists of hundreds of pixel values, and methods for combining these readings from multiple sensors must be developed to make a classification system.
In this work we examine two distance based classification methods, K-Nearest Neighbor (KNN) and Gaussian process (GP) classification, which both rely on a suitable distance metric. We evaluate a range of different distance measures and propose a method for sensor fusion in the GP classifier. Our results indicate that the best choice of distance measure depends on the sensor and the chemical of interest.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2012 |
| Pages: | 1-6 |
| Proceedings: | 2012 IEEE International Workshop on Machine Learning for Signal Processing |
| Series: | Machine Learning for Signal Processing |
| ISBN: | 1467310247 , 9781467310246 , 1467310255 , 1467310263 , 9781467310253 and 9781467310260 |
| ISSN: | 21610363 and 15512541 |
| Types: | Conference paper |
| DOI: | 10.1109/MLSP.2012.6349724 |
| ORCIDs: | Alstrøm, Tommy Sonne , Jensen, Bjørn Sand , Schmidt, Mikkel Nørgaard and Larsen, Jan |
Chemo–selective compounds Feature extraction Gaussian Process Classification Hausdorff distance Hellinger distance K–nearest neighbor classification SDG 16 - Peace, Justice and Strong Institutions
Arrays Color Compounds Explosives Gaussian process classification Haussdorff Hellinger Image color analysis K-nearest neighbor classification KNN Kernel Measurement chemical compound detection sensors chemical compound detection systems chemical sensors chemo-selective compounds classification system colorimetric sensor array classification colorimetry distance based classification methods distance measure explosive detection explosives feature extraction k-nearest neighbor pattern classification pixel values volatile organic compound detection
