On the use of diffusion maps for image fusion

C. C. Olson; J. M. Nichols; K. P. Judd; F. Bucholtz

doi:10.1117/12.884266

5 May 2011 On the use of diffusion maps for image fusion

C. C. Olson, J. M. Nichols, K. P. Judd, F. Bucholtz

Proceedings Volume 8050, Signal Processing, Sensor Fusion, and Target Recognition XX; 80501D (2011) https://doi.org/10.1117/12.884266
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

This work considers the problem of combining high dimensional data acquired from multiple sensors for the purpose of detection and classification. The sampled data are viewed as a geometric object living in a highdimensional space. Through an appropriate, distance preserving projection, those data are reduced to a lowdimensional space. In this reduced space it is shown that different physics of the sampled phenomena reside on different portions of the resulting "manifold" allowing for classification. Moreover, we show that data acquired from multiple sources collected from the same underlying physical phenomenon can be readily combined in the low-dimensional space i.e. fused. The process is demonstrated on maritime imagery collected from a visible-band camera.

Citation Download Citation

C. C. Olson, J. M. Nichols, K. P. Judd, and F. Bucholtz "On the use of diffusion maps for image fusion", Proc. SPIE 8050, Signal Processing, Sensor Fusion, and Target Recognition XX, 80501D (5 May 2011); https://doi.org/10.1117/12.884266

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