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27 April 2018 Geospatial content summarization of UAV aerial imagery using mosaicking
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In this study, we devise a method for summarizing geospatial content of aerial imagery using mosaicking. Mosaicking has been a popular method for combining large sequence of image information and providing a wide field of view in computer vision. We propose a feature based registration method which brings the complexity and homogeneity nature of maize data under consideration and formulates a two step registration method which reduces error accumulation acquired through traditional frame-to-frame registration. Experimental result shows good quality mosaic generation without any metadata information available for long sequence of aerial video. This geospatial summarization of crop field data can be helpful for phenotypic analysis, monitoring of field, checking movement and growth of plants, change in field dynamics, etc.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rumana Aktar, Hadi AliAkbarpour, Filiz Bunyak, Toni Kazic, Guna Seetharaman, and Kannappan Palaniappan "Geospatial content summarization of UAV aerial imagery using mosaicking", Proc. SPIE 10645, Geospatial Informatics, Motion Imagery, and Network Analytics VIII, 106450I (27 April 2018);

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