Revista: | Boletim de ciencias geodesicas |
Base de datos: | PERIÓDICA |
Número de sistema: | 000457266 |
ISSN: | 1413-4853 |
Autores: | Garcia, Marcos Vinicius Yodono1 Oliveira, Henrique Candido de2 |
Instituciones: | 1Universidade Estadual de Campinas, Programa de Pos-Graduacao em Engenharia Civil, Campinas, Sao Paulo. Brasil 2Universidade Estadual de Campinas, Departamento de Infraestrutura e Ambiente, Campinas, Sao Paulo. Brasil |
Año: | 2021 |
Volumen: | 27 |
Número: | 2 |
País: | Brasil |
Idioma: | Inglés |
Tipo de documento: | Artículo |
Enfoque: | Analítico, descriptivo |
Resumen en inglés | Technological improvement in sensors and the use of computer vision algorithms made possible the generation of high accuracy mapping products (cm level) using data acquired by low-cost Unmanned Aerial Vehicles (UAV). However, the procedure to optimally set the aerial block configuration is not well understood for some users mainly due to the popularization of the UAV and its use by non-specialists. This study aims to contribute to this aspect, investigating and highlighting the influence of flight parameters, camera calibration and number of Ground Control Points (GCP) on generating digital terrain models and orthomosaic. To address this issue, several field experiments and data processing were carried out. The quality was assessed by calculating the Root Mean Square Error (RMSE) together with a bias evaluation (t-Student test at 90% confidence level). The results suggest that an optimum block configuration for accurate and unbiased products is achieved by surveying at rates of 80%/60% (forward and sidelap, respectively), with an average Ground Sample Distance (GSD) of around 1 cm at a flight height of 31 m, using a pre-calibrated camera and 5 GCP at least |
Disciplinas: | Geociencias, Ciencia y tecnología |
Palabras clave: | Geodesia, Tecnología, Sensores, Configuración de vuelo, Calibración de cámaras, Modelos digitales del terreno (MDT) |
Keyword: | Geodesy, Technology, Flight configuration, Camera calibration, Digital terrain models (DTM), Sensors |
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