River environment monitoring using UAV images and photogrammetric method / Renu Madhu

Por: Madhu, RenuTipo de material: TextoTextoSeries Natural Sciences SeriesDetalles de publicación: Riga : Akademiker Verlag, 2017 Descripción: 80 p. ; 24 cmISBN: 9786202201728Tema(s): Ríos -- Medidas fotográficas | Ríos -- Sistemas de información geografica | Aviones sin pilotoResumen: Unmanned Aerial Vehicle or UAV is extensively applied in various fields such as military applications, archaeology, agriculture and scientific research. UAVs provide very high resolution images which are helpful for large scale monitoring. UAV systems offer several advantages in terms of cost and image resolution compared to terrestrial photogrammetry and remote sensing system. This study focuses on using the high resolution images provided by UAVs and applying photogrammetric methods for generating Orthophotos, point clouds and Digital Surface Model (DSM). Proceeding which the point clouds were classified into different classes of vegetation using an open source software called Cloud Compare (CC). UAV is one of the alternative ways to ease the process of acquiring data with lower operating costs, low manufacturing and operational costs, plus it is easy to operate. The objective of this study is to make accuracy assessment and comparison of the results generated by different photogrammetric software widely available.
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Tipo de ítem Biblioteca de origen Signatura Estado Fecha de vencimiento Código de barras Reserva de ítems
Monografías 02. BIBLIOTECA CAMPUS PUERTO REAL
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Unmanned Aerial Vehicle or UAV is extensively applied in various fields such as military applications, archaeology, agriculture and scientific research. UAVs provide very high resolution images which are helpful for large scale monitoring. UAV systems offer several advantages in terms of cost and image resolution compared to terrestrial photogrammetry and remote sensing system. This study focuses on using the high resolution images provided by UAVs and applying photogrammetric methods for generating Orthophotos, point clouds and Digital Surface Model (DSM). Proceeding which the point clouds were classified into different classes of vegetation using an open source software called Cloud Compare (CC). UAV is one of the alternative ways to ease the process of acquiring data with lower operating costs, low manufacturing and operational costs, plus it is easy to operate. The objective of this study is to make accuracy assessment and comparison of the results generated by different photogrammetric software widely available.

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