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Dr. HA Nalani

Senior Lecturer

Geomatics

Email : nalani@geo.sab.ac.lk

    Qualifications

  • Doctor of Engineering, Department of Photogrammetry and Remote Sensing, Technical University of Dresden, Germany, 2014.

    Master of Science MSc in Photogrammetry and Geoinformatics, Stuttgart University of Applied Sciences, Germany, 2007.

    Bachelor of Science BSc in Surveying Sciences (Hons), Sabaragamuwa University of Sri Lanka, 2002.

    Profile

  • H.A Nalani is, currently, a Senior Lecturer (Gr. II) at the Department of Remote Sensing and GIS, Faculty of Geomatics, Sabaragamuwa University of Sri Lanka. Mainly, she is teaching Photogrammetry for undergraduate and postgraduate students. Her research focuses on 3D modelling, laser scanning, close-rage Photogrammetric techniques, and UAV. She also has extensive experience working with RS&GIS applications and medical image analysis using photogrammetric techniques. She has been awarded the GFF+DAAD funds to pursue PhD in 2012, DAAD Scholarship in 2005 to complete M.Sc. and Mahapola Merit scholarship to complete BSc.

    Research Interests

  • 3D modelling of urban objects

    Laser scanning point clouds (ALS, TLS, MLS) Processing

    Segmentation and feature extraction techniques (image and point-based)

    GIS and Remote sensing Applications of urban areas

    UAV based urban modelling

    Recent Publications

    1. Nalani, H. A, 2015. Automatic Reconstruction of Urban Objects from Mobile Laser Scanner Data. Published at Qucosa, Quality Content of Saxony.
    2. Perera, G. S.N., Hetti Arachchige, N., Schneider, D., 2014. Integration of Image Data for Refining Building Boundaries Derived from Point Clouds. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-3, 2014, ISPRS Technical Commission III Symposium, 5 – 7 September 2014, Zurich, Switzerland.
    3. Hetti Arachchige, N., Perera, G.S.N., 2014. Automatic modelling of building façade objects via primitive shapes. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-3, 2014, ISPRS Technical Commission III Symposium, 5 – 7 September 2014, Zurich, Switzerland.
    4. Hetti Arachchige, N., Maas, H.-G. 2013. Modelling façade geometry - façade recognition using mobile laser scanner data, GIM 10/2013, pp.32-35.
    5. Nalani, H.A., 2013. Automatic tree stem detection – A geometric feature based approach for MLS point clouds, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. II-5-W2, 109-114.
    6. Perera. G.S.N., Nalani, H.A., Maas, H.-G., 2012. An automated method for 3d roof outlines generation and regularization in airborne laser scanner data. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 1(31W4), 281-286.
    7. Nalani H.A., Maas, H.-G., 2012. Automatic building façade detection in Mobile Laser Scanner point clouds. In: DGPF Tagungsband, Potsdem, Germany, on CD_ROM.
    8. Nalani H.A., Perera, G.S.N., Maas, H.:G., 2012. Automatic Processing of Mobile Laser Scanner point clouds for Building facade detection. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 39 (Part 5B), 787-192.
    9. Hetti Arachchige, N., Perera, G.S.N., Rahman A.A., 2009. “Spatial Information in the Gobles Technologies”, In: nGIS 2009, Malaysia.
    10. Nalani H.A, 2009. Web GIS based 3D Visualization of Geospatial Data . In: Applied Geoinformatics for Society and Environment (AGSE 2009), Vol. 103 (2009), pp. 212-215, Stuttgart, Germany.
    11. Nalani H.A, 2008. Automatic Extraction of Building Planes From Lidar Data, In: Asian Conference of Remote Sensing (ACRS), Colombo, Sri Lanka.
    12. Nalani H.A, 2008. Efficient True Orthophoto Generation. In: Asian Conference of Remote Sensing (ACRS), Colombo, Sri Lanka.
    13. Nalani H.A, Hahn, M., 2007. An interactive tool for 3D objects extraction using LiDAR data and orthoimages. In: International Archives of Photogrammetry and Remote Sensing, Vol. 36, Part 4/W45, 5 pages.