Improved automatic impact crater detection on Mars based on morphological image processing and template matching
Carregando...
Arquivos
Data
2017-01-01
Autores
Pedrosa, Miriam Maria [UNESP]
Azevedo, Samara Calcado de [UNESP]
Silva, Erivaldo Antonio da [UNESP]
Dias, Mauricio Araujo [UNESP]
Título da Revista
ISSN da Revista
Título de Volume
Editor
Taylor & Francis Ltd
Resumo
Impact craters help scientists to understand the geological history of planetary bodies. The aim of this paper is to improve the existing methodology for impact craters detection in images of planetary surfaces using a new approach based on morphological image processing (MIP). The improved methodology uses MIP followed by template matching based on fast Fourier transform (FFT). In this phase, a probability volume is generated based on the correlation between templates and images. The analysis of this probability volume allows the detection of different size of impact craters. We have applied the improved methodology to detect impact craters in a set of images from Thermal Emission Imaging System onboard the 2001 Mars Odyssey Space probe. The improved methodology has achieved a crater detection rate of 92.23% which can be considered robust, since results were obtained based on geomorphological features, different illumination conditions and low spatial resolution. The achieved results proved the viability of using MIP and template matching by FFT, to detect impact craters from planetary surfaces.
Descrição
Palavras-chave
Automatic detection, impact craters, Mars, morphological image processing, template matching
Como citar
Geomatics Natural Hazards & Risk. Abingdon: Taylor & Francis Ltd, v. 8, n. 2, p. 1306-1319, 2017.