<b>Integração de dados do laser scanner com a banda pan-cromática do sensor QuickBird II para a identificação de edificações através das redes neurais numa abordagem orientação a regiões</b> - DOI: 10.4025/actascitechnol.v27i2.1489

Mosar Faria Botelho; Jorge Antonio Silva Centeno

doi:10.4025/actascitechnol.v27i2.1489

Integration of the laser scanner with image panchromatic of QuickBird II in identification of building using neural network and region orientation

Authors

Mosar Faria Botelho UFPR
Jorge Antonio Silva Centeno UFPR

DOI:

https://doi.org/10.4025/actascitechnol.v27i2.1489

Keywords:

sensoriamento remoto, redes neurais artificiais, laser scanner

Abstract

The images produced by QuickBird II sensor and laser scanner data are expensive products to commercialize. Therefore, it has shown its value in the processing of digital images. The goal of this work is to show a viable option for building identification through high resolution image classification using laser scanner system data and images of QuickBird II. For doing so, it used intensity and altimetry laser data integrated with the panchromatic band of the QuickBird II sensor; by means of neural network algorithms and a region oriented approach. The work is justified because it uses recent technologies (laser scanner and QuickBird II images), and it can reduce the production costs of a thematic map. The method showed viable the elaboration of a thematic map

Downloads

Download data is not yet available.

Author Biography

Mosar Faria Botelho, UFPR

possui graduação em Engenharia de Agrimensura pela Universidade Federal de Viçosa (2002), Mestrado e Doutorado em Ciências Geodésicas\Fotogrametria\Sensoriamento Remoto pela Universidade Federal do Paraná (2004 e 2007) e curso técnico profissionalizante em Processamento de Dados pelo Colégio Caratinga (1995). Tem experiência na área de Geociências, com ênfase em Geoprocessamento. Atuando principalmente nos seguintes temas: Laser Scanner, Modelagem tridimensional de edificações, Segmentadores e Classificação de imagens orbitais por Redes Neurais Artificiais. Tendo ainda, experiência no desenvolvimento de tecnologias por meio de linguagem de programação, como por exemplo, C++ - Builder, Pascal - Delphi, SQL, Clipper Currículo Lattes

Downloads

PDF (Português (Brasil))

Published

2008-03-27

How to Cite

Botelho, M. F., & Centeno, J. A. S. (2008). Integration of the laser scanner with image panchromatic of QuickBird II in identification of building using neural network and region orientation. Acta Scientiarum. Technology, 27(2), 207–213. https://doi.org/10.4025/actascitechnol.v27i2.1489

Download Citation

Issue

Vol. 27 No. 2 (2005)

Section

Photogrammetry/Remote Sensory

License

DECLARATION OF ORIGINALITY AND COPYRIGHTS

I Declare that current article is original and has not been submitted for publication, in part or in whole, to any other national or international journal.

The copyrights belong exclusively to the authors. Published content is licensed under Creative Commons Attribution 4.0 (CC BY 4.0) guidelines, which allows sharing (copy and distribution of the material in any medium or format) and adaptation (remix, transform, and build upon the material) for any purpose, even commercially, under the terms of attribution.

Read this link for further information on how to use CC BY 4.0 properly.

0.8

2019CiteScore

36th percentile