John Kerekes


As the field of remote imaging spectrometry grows, interest increases in applications that require the data be “corrected” to surface reflectance. However, the utility of the data for these applications will be limited by the accuracy to which the correction can be performed. Two approaches to atmospheric compensation are reviewed and applied to airbome spectrometer data to study their error characteristics. An end-to-end analysis model is used to extend the study to examine the effects of individual sources of error. Results indicate that random errors of 1 to 2% reflectance units and bias errors of 1 to 4% are achievable in atmospheric window regions, with considerably higher errors in atmospheric absorption bands.

Date of creation, presentation, or exhibit



Proceedings of IEEE International Geoscience and Remote Sensing Symposium (1998) 2697-2701 "Error analysis of spectral reflectance derived from imaging spectrometer data," Proceedings of IEEE International Geoscience and Remote Sensing Symposium. Institute of Electrical and Electronics Engineers (IEEE). Held in Seattle, Washington: 6-10 July 1998. ©1998 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 sponsored by the Department of Defense under Air Force contract F 19628-95-C-0002. Opinions, interpretations, conclusions, and recommendations are those of the author and not necessarily endorsed by the United States Air Force. ISBN: 078-03-4403-0Note: 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