Lalitha Dabbiru
Research Associate

lalitha@gri.msstate.edu

Office: HPC 207
Phone: (662) 325-8642
Alt. Phone: (662) 694-9499

Mailstop 9627
2 Research Blvd
Mississippi State, MS 39762

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


Selected PublicationsTotal Publications by Lalitha Dabbiru:  30 
Dabbiru, L., Aanstoos, J.V., Ball, J. E., & Younan, N. H. (2017). Screening Mississippi River Levees Using Texture-based and Polarimetric-based Features from Synthetic Aperture Radar Data. Electronics. MDPI. 1, 20. [Abstract] [Document Site]

Dabbiru, L., Samiappan, S., Aanstoos, J.V., & Moorhead, R. J. (2016). Fusion of Synthetic Aperture Radar and Hyperspectral Imagery to Detect Impacts of Oil Spill in Gulf of Mexico. Naval Oceanographic Office 4th Annual Operational Oceanography Science and Technology Poster Symposium. Stennis Space Center, MS. [Abstract] [Document]

Dabbiru, L., Aanstoos, J.V., Younan, N. H., & Moorhead, R. J. (2016). Levee Anomaly Detection Using Synthetic Aperture Radar Imagery. Naval Oceanographic Office 4th Annual Operational Oceanography Science and Technology Poster Symposium. Stennis Space Center, MS. [Abstract] [Document]

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]

Samiappan, 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]

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