@InProceedings{NogueiraRobeKortShig:2017:AcAnOr,
author = "Nogueira, Fabiano da Cruz and Roberto, Leandro and Korting, Thales
Sehn and Shiguemori, Elcio Hideiti",
affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Accuracy analysis of orthomosaic and DSM produced from sensor
aboard UAV",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "5515--5522",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "This paper deals with geometric quality analysis of an interest
area mapping that followed all the steps of a photogrammetric
aerial survey. We performed flight planning, GNSS survey of ground
control points and ground check points, digital aerial imaging
using a small format digital camera onboard a small unmanned
aerial system, GNSS post processing and photogrammetric
processing. Pix4D photogrammetry software was used to process
images and coordinates in order to generate a digital orthophoto
mosaic and a Digital Surface Model DSM, both with and without
Ground Control Points GCP. Our main objective was to evaluate
these generated products regarding positional accuracy compliance
to Brazilian Cartographic Accuracy Standard for Digital Products
PEC-PCD using a mathematical model of statistical analysis and
error vector plot. We also analyzed the information presented on
quality report from Pix4D regarding consistency. All planned data
were collected and the results were fully achieved. The mapped
area using GCP reached a quality level class A at 1:1000 scale in
orthomosaic and class A at 1:500 scale in DSM. Orthomosaic without
GCP reached class A only at 1:10000 scale and DSM without GCP was
not possible to classify in any class or scale due to large
vertical errors.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59328",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSMB8L",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMB8L",
targetfile = "59328.pdf",
type = "Cartografia e fotogrametria",
urlaccessdate = "27 abr. 2024"
}