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		<identifier>8JMKD3MGP6W34M/3PSM48T</identifier>
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		<isbn>978-85-17-00088-1</isbn>
		<label>59685</label>
		<citationkey>NiemannGrohMoreSilv:2017:MéFiGe</citationkey>
		<title>Métodos para filtragem e geração de modelos digitais de terreno a partir de imagens obtidas por veículos aéreos não tripulados</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
		<numberoffiles>1</numberoffiles>
		<size>730 KiB</size>
		<author>Niemann, Rafaela Soares,</author>
		<author>Grohmann, Carlos Henrique,</author>
		<author>Morellato, Leonor Patricia Cerdeira,</author>
		<author>Silva, Thiago Sanna Freire,</author>
		<electronicmailaddress>rafaelaniemann@gmail.com</electronicmailaddress>
		<editor>Gherardi, Douglas Francisco Marcolino,</editor>
		<editor>Aragão, Luiz Eduardo Oliveira e Cruz de,</editor>
		<e-mailaddress>daniela.seki@inpe.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)</conferencename>
		<conferencelocation>Santos</conferencelocation>
		<date>28-31 maio 2017</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>5080-5087</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>The quality of the digital elevation models determines the quality of geomorphometric analysis. Remote sensing can help with the acquisition of more information on this relationship, especially through high spatial resolution sensors and sensors with three-dimensional imaging capabilities. Imaging by Unmanned Aerial Vehicles (UAVs) is still poorly explored, but can provide information with high spatial and temporal resolution, compared to data obtained by satellite sensors, and with low cost. Computer vision algorithms, such as Structure from Motion (SFM), allow the extraction of three-dimensional points from overlaying images obtained by UAVs, which are used to generate Digital Surface Models (DSM) by interpolation algorithms. Here we present a methodological approach to generate a Digital Terrain Model (DTM) from UAV imaging, point cloud interpolation, and DSM filtering. Non-ground objects are removed from the surface using mathematical morphology and robust filtering. Moreover, the study contributes to the methodological improvement of environmental studies based on the emerging technology offered by UAVs.</abstract>
		<area>SRE</area>
		<type>VANTs, videografia e alta resolução</type>
		<language>pt</language>
		<targetfile>59685.pdf</targetfile>
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		<url>http://marte2.sid.inpe.br/rep-/sid.inpe.br/marte2/2017/10.27.14.02.22</url>
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