Throughout this framework the pattern analysis and recognition has been accomplished based on the fusion of spatial and spectral sensorial data. The main purpose of that is the exploration of some salient features in the spatial and spectral domains that simplifies the pattern recognition. The spatial and spectral fusion of data patterns confirms the matching process that results where Bayesian rule has been applied to the available heterogeneous data. To prove the proposed technique, several visible and IR images have been used to show the possibility of integrating several spectral range images to achieve the pattern recognition. Also, this approach has been applied to support a too critical forensic purpose, it is the premature burial. Keywords: Spatial domain, Spectral domain, Data fusion, Visual image processing, IR image processing, forensic image processing, premature burial.
Aboshosha, A. (2015). Development of high Precision Multi-Spectrum Tracking System. International Conference on Aerospace Sciences and Aviation Technology, 16(AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 16 – May 26 - 28, 2015), 1-8. doi: 10.21608/asat.2015.22901
MLA
Ashraf Aboshosha. "Development of high Precision Multi-Spectrum Tracking System", International Conference on Aerospace Sciences and Aviation Technology, 16, AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 16 – May 26 - 28, 2015, 2015, 1-8. doi: 10.21608/asat.2015.22901
HARVARD
Aboshosha, A. (2015). 'Development of high Precision Multi-Spectrum Tracking System', International Conference on Aerospace Sciences and Aviation Technology, 16(AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 16 – May 26 - 28, 2015), pp. 1-8. doi: 10.21608/asat.2015.22901
VANCOUVER
Aboshosha, A. Development of high Precision Multi-Spectrum Tracking System. International Conference on Aerospace Sciences and Aviation Technology, 2015; 16(AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 16 – May 26 - 28, 2015): 1-8. doi: 10.21608/asat.2015.22901
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