Bird Migration with Visual Avian Navigation & Nest Nidification: The Spatial Linear Geometries Georeferencing Functionality
نویسندگان
چکیده
Problem: Bird migration (eye): Georeferencing procedure with clues, rules, functionalities, and restrictions, for avian navigation nest nidification.
 Literature Knowledge: Computer vision (sensor): Robot self-referencing the Perspective-n- Point pose estimation technique.
 Aim: Hypothesis introduction proving (“The birds also follow same georeferencing like robots in nidification”).
 Methodology: (a) Reference data, images, photography acquisition 4-means layering (eBird dataset, Flickr imagery, CORINE land covering, Volunteered Geographic Information);
 (b) Image processing; (c) GIS spatial overlay analysis.
 Results: Statistical analysis using data of overlays (the 4 layers). Correlation matrix (Avian nidification low-density urban areas as these are affected by linear geometries cover types).
 Conclusion: A statistically satisfactory approach to introduced hypothesis.
 Potential Applications: Human cognition movement behavior; Children’s motor control coordination.
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ژورنال
عنوان ژورنال: Ophthalmology research: an international journal
سال: 2022
ISSN: ['2321-7227']
DOI: https://doi.org/10.9734/or/2022/v17i4371