This paper highlights the complementary nature of SAR and HSI data in the context of a trafficability assessment. To perform the assessment, different types of classification on the two data sets were performed and fused at the decision level. Results show different strengths for each data set and prove the advantage of using both HSI and SAR data in trafficability assessment.

Date of creation, presentation, or exhibit



Proceedings of the 2006 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2006 "Decision fusion of hyperspectral and SAR data for trafficability assessment," Proceedings of the 2006 IEEE International Geoscience and Remote Sensing Symposium (IGARRS). Institute of Electrical and Electronics Engineers. Held at Colorado Convention Center: Denver, Colorado 31 July-4 August, 2006. ©2006 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. Note: 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)


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