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

Improved automatic impact crater detection on Mars based on morphological image processing and template matching

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Author(s):
Pedrosa, Miriam Maria [1] ; de Azevedo, Samara Calcado [1] ; da Silva, Erivaldo Antonio [1] ; Dias, Mauricio Araujo [2]
Total Authors: 4
Affiliation:
[1] Sao Paulo State Univ, Dept Cartog, Presidente Prudente - Brazil
[2] Sao Paulo State Univ, Dept Math & Comp Sci, Presidente Prudente - Brazil
Total Affiliations: 2
Document type: Journal article
Source: GEOMATICS NATURAL HAZARDS & RISK; v. 8, n. 2, p. 1306-1319, 2017.
Web of Science Citations: 1
Abstract

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. (AU)

FAPESP's process: 15/26743-5 - Automatic shadow detection and effects removal in high spatial resolution digital images
Grantee:Samara Calçado de Azevedo
Support Opportunities: Scholarships abroad - Research Internship - Doctorate
FAPESP's process: 13/25257-4 - AUTOMATIC DETECTION AND REMOVAL OF SHADOWS OF ITS EFFECTS ON SPATIAL HIGH RESOLUTION DIGITAL IMAGES
Grantee:Samara Calçado de Azevedo
Support Opportunities: Scholarships in Brazil - Doctorate