Dr. John P. Kerekes
Professor at Rochester Institute of Technology
SPIE Involvement:
Senior status | Author
Area of Expertise:
Remote sensing , Hyperspectral imaging , System modeling , Pattern recognition
Websites:
Profile Summary

Dr. Kerekes has worked throughout his career on advancing the state of the art and practice of remote sensing technology through theoretical investigations, data analyses, and modeling of remote sensing systems. His interest has been in viewing the end-to-end remote sensing process as a system with application performance as the system metric. Developing models with this perspective has improved understanding of parameter sensitivities and requirements for system design and operation. His work has emphasized the use of statistical parametric models in propagating the information bearing characteristics of the scene through the effects of the remote sensing process. He has applied this approach to the study of multispectral remote sensing systems designed for surface land cover classification, the vertical profiling of atmospheric temperature and water vapor, and for unresolved (sub-pixel) object detection and identification. He has also investigated the use of spectral imaging for medical applications.

The field of remote sensing is multi-disciplinary by nature and Dr. Kerekes has developed, through professional interactions and study, a broad understanding and appreciation of the application side of remote sensing systems. This perspective has Dr. Kerekes well positioned to continue to contribute to collaborative research efforts that apply electrical engineering and remote sensing technologies to increasingly critical areas such as homeland security, site specific farm management, climate monitoring, resource monitoring, urban growth, and sustainable development. He also has interests in applying these concepts to the development and use of other multidimensional imaging systems such as those used for biomedical laboratory and industrial manufacturing applications.
Publications (63)

Proceedings Article | 17 September 2018
Proc. SPIE. 10743, Optical Modeling and Performance Predictions X
KEYWORDS: Point spread functions, Telescopes, Landsat, Data modeling, Imaging systems, Remote sensing, Stray light, Performance modeling, Systems modeling, Earth observing sensors

Proceedings Article | 25 May 2018
Proc. SPIE. 10644, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV
KEYWORDS: Signal to noise ratio, Human-machine interfaces, Principal component analysis, Detection and tracking algorithms, Satellites, Image segmentation, Computer simulations, Image registration, Satellite imaging, Earth observing sensors

Proceedings Article | 8 May 2018
Proc. SPIE. 10644, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV
KEYWORDS: Target detection, Hyperspectral imaging, Optical filters, Principal component analysis, Detection and tracking algorithms, Sensors, Digital filtering, Reflectivity, Single mode fibers, Hyperspectral target detection

Proceedings Article | 8 May 2018
Proc. SPIE. 10644, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV
KEYWORDS: Point spread functions, Imaging systems, Sensors, Image processing, Image analysis, Image quality, Digital imaging

SPIE Journal Paper | 21 March 2018
JARS Vol. 12 Issue 01
KEYWORDS: Image segmentation, Fluctuations and noise, Image processing algorithms and systems, Image resolution, Feature extraction, Airborne remote sensing, Image classification, Image processing, Detection and tracking algorithms, Classification systems

Proceedings Article | 5 May 2017
Proc. SPIE. 10198, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII
KEYWORDS: Target detection, Long wavelength infrared, Infrared imaging, Detection and tracking algorithms, Sensors, Single mode fibers, Vegetation, Infrared radiation, Aluminum, Analytical research

Showing 5 of 63 publications
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