ISSN2456-3315
Impact Factor10.57
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ESTD2016
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Paper Title
UAV AERIAL IMAGERY : MAPPING AND 3D MODELLLING
Authors
Lakshmipriya K A , Mariya P Shaji , Nayana P N , Milan Joseph , Annie Paul
Keywords
Drones, Mapping, 3D modelling.
Abstract
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).
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How To Cite
"UAV AERIAL IMAGERY : MAPPING AND 3D MODELLLING", IJRTI - International Journal for Research Trends and Innovation (www.IJRTI.org), ISSN:2456-3315, Vol.7, Issue 7, page no.656 - 662, July-2022, Available :https://ijrti.org/papers/IJRTI2207093.pdf
Issue
Volume 7 Issue 7,
July-2022
Pages : 656 - 662
Other Publication Details
Paper Reg. ID: IJRTI_182796
Published Paper Id: IJRTI2207093
Downloads: 205,626
Research Area: Electronics & Communication Engg.Â
Country: Ernakulam, Kerala, India
Published Paper PDF: https://ijrti.org/papers/IJRTI2207093
Published Paper URL: https://ijrti.org/viewpaperforall?paper=IJRTI2207093
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ISSN: 2456-3315 | IMPACT FACTOR: 10.57 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 10.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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