|Biography:||Lalitha Dabbiru is a Research Associate III of the Geosystems Research Institute (GRI) at Mississippi State University. Her research interests include synthetic aperture radar (SAR) and remotely sensed image analysis. Her research activities also focused on small satellite engineering and knowledge management systems. Her past work experience include fabrication and integration of multi sensor chips. She received the Ph.D. degree in Electrical Engineering at Mississippi State University. She is a member of the IEEE.|
|Research Interest: ||Synthetic Aperture Radar (SAR), Remote Sensing, Image Analysis|
|Publications: ||Dabbiru, L., Aanstoos, J.V., & Younan, N. H. (2016). Fusion of Hyperspectral and L-band SAR Data for Analyzing Impacts of Oil Spill Detection. ESA Living Planet Symposium 2016. Prague, Czech Republic. [Document] |
Sathishkumar S, Dabbiru, L., & Moorhead, R. J. (2016). Fusion of Hyperspectral and LiDAR Data Using Random Feature Selection and Morphological Attribute Profiles. WHISPERS. Los Angeles, CA: 8th Workshop on hyperspectral image and signal processing: Evolution in Remote Sensing. [Abstract]
Dabbiru, L., Harsh, A., Ball, J. E., Aanstoos, J.V., Doyle, J., Jackson, S., & Newman, J. (2015). Runway Assessment via Remote Sensing. 2015 IEEE Applied Imagery Pattern Recognition Workshop (AIPR). Cosmos Club, Washington, DC: IEEE. 1-5. [Abstract]
Dabbiru, L., Sathishkumar S, Nobrega, R. A. A., Aanstoos, J.V., Younan, N. H., & Moorhead, R. J. (2015). Fusion of Synthetic Aperture Radar and Hyperspectral Imagery to Detect Impacts of Oil Spill in Gulf of Mexico. IGARSS 2015 proceedings. Milan, Italy: IEEE.
Dabbiru, L., Aanstoos, J.V., & Younan, N. H. (2015). Earthen Levee Slide Detection via Automated Analysis of Synthetic Aperture Radar Imagery. Journal of Landslides. Springer. 1612-5118, 10. DOI:10.1007/s10346-015-0599-9. [Abstract]
|Total Publications by this Author: 27|