%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.27.16.32.42
%2 sid.inpe.br/marte2/2017/10.27.16.32.43
%@isbn 978-85-17-00088-1
%F 59991
%T Estimação Automática do Modelo Digital de Elevação a partir de Imagens Aérea
%D 2017
%A Domiciano, Marco Antonio Pizani,
%A Dias, Luiz Alberto Vieira,
%A Shiguemori, Elcio Hideiti,
%A Silva Filho, Paulo Fernando Ferreira,
%@electronicmailaddress marcopizani@gmail.com
%E Gherardi, Douglas Francisco Marcolino,
%E Aragão, Luiz Eduardo Oliveira e Cruz de,
%B Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)
%C Santos
%8 28-31 maio 2017
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 7891-7898
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X The development and employment of UAV have grown in last years. With this, theapplications have also been increase. Among the applications, an important process is to automaticestimation of the Digital Elevation Model for a specific area. In many cases, it is important that the flightbe made autonomously. The successful autonomous aerial navigation is dependent on several factors,among them the location of the unmanned aerial vehicle into the geographical space. In order to achievethis goal, there exist techniques that combine the Satellite Position System (SPS) with the InertialNavigation System (INS). However, these techniques have been dependent on external data (signal fromthe SPS), that could not be available during the vehicle operation. When the SPS and the INS are notavailable, Computational Vision is an alternative for the navigation. Some studies have been developedabout navigation with the use of images and Digital Elevation Models. In this paper it is presented anapproach to automatically estimate a Digital Elevation Model using aerial images. Different techniqueshave been used to obtain characteristic points, from two images obtained at different instants. TheZernike Moment and Particle Collision Algorithm are used to find correspondence between the aerialimages. The results show that the proposed techniques have been suitable for this problem.
%9 Cartografia e fotogrametria
%@language pt
%3 59991.pdf