Image processing algorithm for the identification of Martian dust devil tracks in MOC and HiRISE images
Nenhuma Miniatura disponível
Data
2012-09-01
Autores
Statella, Thiago
Pina, Pedro
Silva, Erivaldo Antonio da [UNESP]
Título da Revista
ISSN da Revista
Título de Volume
Editor
Pergamon-Elsevier B.V. Ltd
Resumo
This paper presents a method for automatic identification of dust devils tracks in MOC NA and HiRISE images of Mars. The method is based on Mathematical Morphology and is able to successfully process those images despite their difference in spatial resolution or size of the scene. A dataset of 200 images from the surface of Mars representative of the diversity of those track features was considered for developing, testing and evaluating our method, confronting the outputs with reference images made manually. Analysis showed a mean accuracy of about 92%. We also give some examples on how to use the results to get information about dust devils, namelly mean width, main direction of movement and coverage per scene. (c) 2012 Elsevier Ltd. All rights reserved.
Descrição
Palavras-chave
Dust devils, Feature detection, Mathematical Morphology, Mars
Como citar
Planetary and Space Science. Oxford: Pergamon-Elsevier B.V. Ltd, v. 70, n. 1, p. 46-58, 2012.