R. Aktar, H. AliAkbarpour, F. Bunyak, T. Kazic, G. Seetharaman, and K. Palaniappan

International Society for Optics and Photonics, Volume 10645, pgs. 106450I, 2018

aerial imagery, mosaicking, registration, summarization, feature based registration.

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Abstract

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.