In support of hyperspectral sensor system design and parameter tradeoff investigations, an analytical end-to-end remote sensing system performance forecasting model has been extended to cover the visible and near infrared through longwave infrared portion of the optical spectrum (0.4 to 14 µm). The model takes statistical descriptions of surface spectral reflectances and temperature variations in a scene and propagates them through the effects of the atmosphere, the sensor, and processing transformations. A resultant system performance metric is then calculated. This paper presents the theory for analytically transforming surface statistics to at-sensor spectral radiance statistics for a downward-looking hyperspectral sensor observing both reflected sunlight and thermally emitted radiation. Comparisons of the model’s predictions with measurements from an airborne hyperspectral sensor are presented. An example is included to show the model’s utility in understanding the magnitude of full spectrum radiance components.

Date of creation, presentation, or exhibit



Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (2004) 1494-1497 "Full spectrum modeling of at-sensor spectral radiance variability due to surface variability ," Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Institute of Electrical and Electronics Engineers (IEEE). Held in Anchorage, Alaska: 20-24 September 2004. ©2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. This work was performed while Dr. Kerekes was at MIT Lincoln Laboratory. ISBN: 0-7803-8742-2Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in February 2014.

Document Type

Conference Proceeding

Department, Program, or Center

Chester F. Carlson Center for Imaging Science (COS)


RIT – Main Campus