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(Reference retrieved automatically from SciELO through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Assessment of a technique for Digital Surface Model generation using multi images

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Author(s):
Raquel Alves de Oliveira [1] ; Antonio Maria Garcia Tommaselli [2]
Total Authors: 2
Affiliation:
[1] Universidade Estadual Paulista. Departamento de Cartografia. Programa de Pós-Graduação em Ciências Cartográficas, Faculdade de Ciências e Tecnologia
[2] Universidade Estadual Paulista. Departamento de Cartografia. Programa de Pós-Graduação em Ciências Cartográficas, Faculdade de Ciências e Tecnologia
Total Affiliations: 2
Document type: Journal article
Source: Bol. Ciênc. Geod.; v. 20, n. 2, p. 257-278, 2014-06-00.
Abstract

The efficient generation of digital surface model (DSM) from optical images has been explored for many years and the results are dependent on the project characteristics (image resolution, size of overlap between images, among others), of the image matching techniques and the computer capabilities for the image processing. The points generated from image matching have a direct impact on the quality of the DSM and, consequently, influence the need for the costly step of edition. This work aims at assessing experimentally a technique for DSM generation by matching of multiple images (two or more) simultaneously using the vertical line locus method (VLL). The experiments were performed with six images of the urban area of Presidente Prudente/SP, with a ground sample distance (GSD) of approximately 7cm. DSMs of a small area with homogeneous texture, repetitive pattern, moving objects including shadows and trees were generated to assess the quality of the developed procedure. This obtained DSM was compared to cloud points acquired by LASER (Light Amplification by Simulated Emission of Radiation) scanning as wells as with a DSM generated by Leica Photogrammetric Suite (LPS) software. The accomplished results showed that the MDS generated by the implemented technique has a geometric quality compatible with the reference models. (AU)

FAPESP's process: 10/14444-0 - Automatic Digital Terrain Model Extraction using multiple Images
Grantee:Raquel Alves de Oliveira
Support Opportunities: Scholarships in Brazil - Master