Registro de Imagens Multitemporais Baseadas em Decomposição Multiresolução

Conteúdo do artigo principal

Leila Maria Garcia Fonseca
Max H. M. Costa
Thales S. Korting
Emiliano Castejon
Felipe C. Silva

Resumo

Image registration is the process of overlaying two or more images of the same scene taken at different times, from different viewpoints, and/or different sensors. With the increase in the number of images collected every day from different sensors, automated registration of multi-sensor, multi-spectral and multi-temporal images has become an important application. In this paper an efficient algorithm for the registration of multi-temporal images with similar spectral responses is proposed. The procedure relies on the gray level information content of the images and their local wavelet transform modulus maxima. The registration algorithm is performed at progressively higher resolutions, which allows for faster implementation and higher registration precision. For the matching process, a novel procedure for automatic point feature detection based on wavelet transform is presented. Moreover, an investigation about the performance of four similarity measures in the task of feature point matching for satellite images is also presented. The results show that the matching method based on correlation is efficient to register images of similar spectral responses even if multi-temporal changes are present. To overcome the presence of rotation angle between the images to be registered, a procedure to estimate this angle is performed before the matching process. Measurements of performance are provided, as well as extensive experimental results, to illustrate the qualitative performance of the registration algorithm. Images of different sensors and acquisition time are used in the experiments.

Downloads

Não há dados estatísticos.

Métricas

Carregando Métricas ...

Detalhes do artigo

Como Citar
FONSECA, L. M. G.; COSTA, M. H. M.; KORTING, T. S.; CASTEJON, E.; SILVA, F. C. Registro de Imagens Multitemporais Baseadas em Decomposição Multiresolução. Revista Brasileira de Cartografia, [S. l.], v. 60, n. 3, 2009. Disponível em: https://seer.ufu.br/index.php/revistabrasileiracartografia/article/view/44870. Acesso em: 8 ago. 2022.
Seção
Artigos
Biografia do Autor

Leila Maria Garcia Fonseca, IMPE - National Institute for Space Research

Image Processing Division

Max H. M. Costa, Unicamp - State University of Campinas

FEEC/DECOM

Thales S. Korting, IMPE - National Institute for Space Research

Image Processing Division

Emiliano Castejon, IMPE - National Institute for Space Research

Image Processing Division

Felipe C. Silva, IMPE - National Institute for Space Research

Image Processing Division

Artigos mais lidos pelo mesmo(s) autor(es)

1 2 > >>