faculty

John Schott

John R. Schott, Ph.D.
Professor
Director, Digital Image & Remote Sensing Laboratory

Ph.D., Environmental Science/Remote Sensing
SUNY Environmental Science & Forestry - Syracuse University

3146 Carlson
(585)475-5170
E-Mail: schott@cis.rit.edu

John Schott's book

Research Highlights

Signal & Image Processing

Our research has two major thrusts. The first involves design of instrumentation to image the earth and development of methods to extract quantitative information from remotely sensed data. The second involves development of methods to generate synthetic images of what the earth would look like to airborne or satellite imaging systems. These synthetic image generation tools include models of the thermal and radiometric behavior of the earth and the atmosphere which attempt to simulate all of the important factors that influence the signal level recorded by sensors operating in the visible through the thermal infrared portions of the spectrum.

On a recent project, as part of our synthetic image generation work, we acquired data of an instrumented scene. Calibrated image data were acquired every hour over a 24-hour period by sensors operating in several spectral regions. Synthetic representations of the scene were also produced corresponding to each of the actual images. While the images matched surprisingly well, it was differences that were of the most interest. These differences tell us where either our understanding or modeling of the image-forming phenomena are flawed. This points us to where we need to study and improve our models.

The modeling efforts are also valuable in analyzing actual aerial or satellite images. The quantitative analysis of these images often involve reverse engineering using the same modeling concepts used in synthetic image generation. In particular, the removal of atmospheric effects from remotely sensed images often involves reversing the same procedures used in simulating the atmosphere in synthetic images.

Recent projects include:

  • Design of a modular multispectral airborne imaging system
  • Inclusion of sensor effects in synthetically generated images
  • Development of improved methods for analyzing multispectral and
    thermal infrared image data using image fusion approaches

Selected Publications

Schott J.R., "Remote Sensing: The Imaging Chain Approach," Oxford University Press 1997.

Gross, H.N. and Schott J.R., "Application of spectral mixing to image fusion," presented at 26th International Symposium on Remote Sensing of Environment, Vancouver, BC, February 1996.

Gross, H.N. and Schott J.R., "Evaluating an image fusion algorithm with synthetic image generation tools," SPIE Visual Communications and Image Processing, Orlando, April 1996.

Feng, X., and Schott J.R., "Design and performance evaluation of the modular imaging spectrometer instrument MISI," Second International Airborne Remote Sensing Conference and Exhibition, San Francisco, CA, June 1996.

Gross, H.N. and Schott J.R., "Application of spatial resolution enhancement and spectral mixture analysis to hyperspectral images," SPIE Optical Science, Engineering, and Instrumentation Annual Meeting, Vol. 2821, pp.30-41, August 1996.

Raqueñ, R.V., Brown S.D., and Schott J.R., "Incorporation of transmissive scene element modeling in multispectral image simulation tools," SPIE Optical Science, Engineering, and Instrumentation Annual Meeting, Denver, CO, August 1996.

Brower, B.V., Hadcock, D.H., Reitz, J.P., and Schott J.R., "Spectral and spatial adaptive hyperspectral data compression, SPIE Optical Science, Engineering, and Instrumentation Annual Meeting, Vol 2821, pp. 55-63, August 1996.

Brown S.D., Schott J.R., Raqueñ, R.V., Kraska, T., and White, R., "Validation and Analysis of the Digital Imaging and Remote Sensing Laboratory's Synthetic Image Generation Model, DIRSIG," Ground Target Modeling and Validation Conference, Michigan, August 1996.

Feng, X., and Schott J.R., "Electro-Optical Scanner Design for Information," Proceedings of the Optical Society of America, Rochester, NY, October 1996.

Schott J.R., Biegal, and Wilkinson, "Quantitative survey of building heat loss," in Selected Papers on Temperature Sensing: Optical Methods, Ronald Lucier, ed., SPIE Milestone Series, Vol.MS116, 478-485.

Schott J.R., R. Raqueño, C. Salvaggio, "Incorporation of a time-dependent thermodynamic model and a radiation propagation model into infrared 3-D synthetic image generation," J. Opt. Eng., Vol 31 #7 pp. 1505-1516, July 1992.

Munechika, C.K., J.S. Warnick, C. Salvaggio, J.R. Schott, "Resolution enhancement of multispectral image data by scene merger for improved classification accuracy," Photogrammetric Engineering and Remote Sensing, Vol.59, No. 1, pp. 67-72 January 1993

Feng, X., J.R. Schott, and T. Gallagher, "Comparison of methods for generation of absolute reflectance factor values for BRDF studies," Applied Optics, Vol. 32, No. 7, March 1993.

Schott, J.R., "Methods for estimation of and correction for atmospheric effects on remotely sensed data," presented at SPIE's OE/Aerospace and Remote Sensing 1993, Vol. 1968, No. 51, pp. 448-482, Orlando, FL, April 1993

Salvaggio, C., J.D. Sirianni, and J.R. Schott, "Use of LOWTRAN derived atmospheric parameters in synthetic image generation models," Proceedings SPIE's OE/Aerospace and Remote Sensing 1993, Vol. 1938, No. 34, pp. 294-307, Orlando, FL, April 1993