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NCSU Scholarly Publications Repository (Search Again)

A growing collection of publications and full text of scholarly works by NC State faculty members, graduate students, and research staff.

Number of Publications: 8
Vatsavai, Raju


Articles
Kurte, K. R., Durbha, S. S., King, R. L., Younan, N. H., & Vatsavai, R. (2017). Semantics-enabled framework for spatial image information mining of linked earth observation data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(1), 29-44.

Vatsavai, R., & Chandola, V. (2016). Guest editorial: Big spatial data. Geoinformatica, 20(4), 797-799.

Karpatne, A., Jiang, Z., Vatsavai, R. R., Shekhar, S., & Kumar, V. (2016). Monitoring land-cover changes: A machine-learning perspective. IEEE Geoscience and Remote Sensing Magazine, 4(2), 8-21.

Conference Papers
Chen, Z. X., Vatsavai, R. R., Ramachandra, B., Zhang, Q., Singh, N., & Sukumar, S. (2016). Scalable nearest neighbor based hierarchical change detection framework for crop monitoring. (2016 IEEE International Conference on Big Data (Big Data), ) (pp. 1309-1314).

Shashidharan, A., Berkel, D. B., Vatsavai, R. R., & Meentemeyer, R. K. (2016). pFUTURES: A parallel framework for cellular automaton based urban growth models. In Geographic information science, (giscience 2016). (Lecture Notes in Computer Science, 9927) (pp. 163-177).

Hong, S., & Vatsavai, R. R. (2016). A scalable probabilistic change detection algorithm for very high resolution (VHR) satellite imagery. In 2016 ieee international congress on big data - bigdata congress 2016. (IEEE International Congress on Big Data, ) (pp. 275-282).

Vatsavai, R. R. (2015). Multitemporal data mining: From biomass monitoring to nuclear proliferation detection. (2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (Multi-Temp), ).

Vatsavai, R. R. (2015). A scalable complex pattern mining framework for global settlement mapping. (2015 IEEE International Congress on Big Data - BigData congress 2015, ) (pp. 514-521).


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