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Drones have recently enjoyed great success in a number of areas, most notably during the COVID-19 crisis, with applications in military and civic domains such as surveillance, agriculture, mapping, and monitoring. UAVs can create a variety of maps, including geographically accurate ortho-rectified two-dimensional maps, elevation models, thermal maps, and three-dimensional maps or models. CGA (Color Geolocation Approach), a new method for estimating the 3D world position of an object after detecting its 2D position in the captured image, is gaining popularity. The CGA technique is based on position encoding-decoding and employs the SRTM DEM (Digital Elevation Model) model to model the ground landscape (with a resolution of one arc second).
Keywords:
Drones, Mapping, 3D modelling.
Cite Article:
"UAV AERIAL IMAGERY : MAPPING AND 3D MODELLLING", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 7, page no.656 - 662, July-2022, Available :http://www.ijrti.org/papers/IJRTI2207093.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator