Lalitha Dabbiru
GRI Affiliated Personnel

lalitha@cavs.msstate.edu

Office: HPC A200
Phone: (662) 325-8642
Alt. Phone: (662) 694-9499

Mailstop 9627
2 Research Blvd
Mississippi State, MS 39762

Biography:
Lalitha Dabbiru is an Assistant Research Professor in the Center for Advanced Vehicular Systems (CAVS) and adjunct faculty in the department of Electrical and Computer Engineering at Mississippi State University. Her research interests include remote sensing, radar and lidar image processing and machine learning. Her research activities focused on levee anomaly detection, autonomous vehicles, 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:
Remote Sensing, machine learning, Synthetic Aperture Radar (SAR), LiDAR Image and Signal Processing, autonomous vehicles


Selected PublicationsTotal Publications by Lalitha Dabbiru:  31 
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., 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]

Sehat, S., Vahedifard, F., Aanstoos, J.V., Dabbiru, L., & Hasan, K. (2014). Using In situ Soil Measurements for Analysis of a Polarimetric SAR-based Classification of Levee Slump Slides in the Lower Mississippi River. Engineering Geology. Elsevier. 181, 157–168. DOI:10.1016/j.enggeo.2014.07.007. [Document Site]

Nobrega, R. A. A., Aanstoos, J.V., Gokaraju, B., Mahrooghy, M., Dabbiru, L., & O'Hara C. (2013). MAPPING WEAKNESSES IN THE MISSISSIPPI RIVER LEVEE SYSTEM USING MULTI-TEMPORAL UAVSAR DATA. Brazilian Journal of Cartography, Photogrammetry and Remote Sensing. State University of Rio de Janeiro, Rio de Janeiro, Brazil: Brazilian Society for Cartography. 65(4), 681-694. [Abstract]

Luo, Y., Feng, X., Houser, P., Anantharaj, V., Fan, X., Lannoy, G. D., Zhan, X., & Dabbiru, L. (2013). Potential Soil Moisture Products from the Aquarius Radiometer and Scatterometer Using an Observing System Simulation Experiment. Geoscientific Instrumentation, Methods and Data Systems. Copernicus Publications. 2, 113 - 120. DOI:10.5194/gi-2-113-2013. [Abstract] [Document] [Document Site]

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