Busca avançada
Ano de início
Entree
(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Automatic Orientation of Multi-Scale Terrestrial Images for 3D Reconstruction

Texto completo
Autor(es):
Tommaselli, Antonio M. G. [1] ; Berveglieri, Adilson [1]
Número total de Autores: 2
Afiliação do(s) autor(es):
[1] Univ Estadual Paulista UNESP, Dept Cartog, BR-19060900 Presidente Prudente, SP - Brazil
Número total de Afiliações: 1
Tipo de documento: Artigo Científico
Fonte: REMOTE SENSING; v. 6, n. 4, p. 3020-3040, APR 2014.
Citações Web of Science: 11
Resumo

Image orientation requires ground control as a source of information for both indirect estimation and quality assessment to guarantee the accuracy of the photogrammetric processes. However, the orientation still depends on interactive measurements to locate the control entities over the images. This paper presents an automatic technique used to generate 3D control points from vertical panoramic terrestrial images. The technique uses a special target attached to a GPS receiver and panoramic images acquired in nadir view from different heights. The reference target is used as ground control to determine the exterior orientation parameters (EOPs) of the vertical images. These acquired multi-scale images overlap in the central region and can be used to compute ground coordinates using photogrammetric intersection. Experiments were conducted in a terrestrial calibration field to assess the geometry provided by the reference target and the quality of the reconstructed object coordinates. The analysis was based on the checkpoints, and the resulting discrepancies in the object space were less than 2 cm in the studied cases. As a result, small models and ortho-images can be produced as well as georeferenced image chips that can be used as high-quality control information. (AU)

Processo FAPESP: 10/16954-5 - Desenvolvimento de técnicas de correspondência entre imagens georreferenciadas de múltiplos sensores ópticos e em diferentes escalas
Beneficiário:Adilson Berveglieri
Modalidade de apoio: Bolsas no Brasil - Doutorado