Fusion of Multisensor Data Based on Different Multidimensional Distributions

Authors

  • Aivars Lorencs Institute of Electronics and Computer Science
  • Ints Mednieks Institute of Electronics and Computer Science
  • Martins Pukitis Institute of Electronics and Computer Science
  • Juris Siņica-Siņavskis Institute of Electronics and Computer Science

DOI:

https://doi.org/10.5755/j01.eie.22.4.12600

Keywords:

Data fusion, image classification, multidimensional distribution, remote sensing

Abstract

The paper addresses problems related to classification of images obtained by various types of remote sensing devices. Development and use of Bayes type land cover classifiers based on multidimensional Gaussian, Dirichlet and gamma distributions is analysed and compared on the basis of sample data from RGB and hyperspectral thermal sensing devices with unequal spatial resolution. Approaches to data fusion for design of the combined classifiers are presented including the cases where different families of multidimensional distributions are used to model the sensor data and classifiers are designed using combinations of their probability density functions. The best classification results are obtained when the fusion of data from both images is used together with classification based on all three considered distributions combined together.

DOI: http://dx.doi.org/10.5755/j01.eie.22.4.12600

Downloads

Published

2016-08-03

How to Cite

Lorencs, A., Mednieks, I., Pukitis, M., & Siņica-Siņavskis, J. (2016). Fusion of Multisensor Data Based on Different Multidimensional Distributions. Elektronika Ir Elektrotechnika, 22(4), 67 - 72. https://doi.org/10.5755/j01.eie.22.4.12600

Issue

Vol. 22 No. 4 (2016)

Section

SYSTEM ENGINEERING, COMPUTER TECHNOLOGY

License

The copyright for the paper in this journal is retained by the author(s) with the first publication right granted to the journal. The authors agree to the Creative Commons Attribution 4.0 (CC BY 4.0) agreement under which the paper in the Journal is licensed.

By virtue of their appearance in this open access journal, papers are free to use with proper attribution in educational and other non-commercial settings with an acknowledgement of the initial publication in the journal.