Planetary crater detection and registration using marked point processes, multiple birth and death algorithms, and region-based analysis

Abstract

Because of the large variety of sensors and spacecraft collecting data, planetary science needs to integrate various multi-sensor and multi-temporal images. These multiple data represent a precious asset, as they allow the study of targets' spectral responses and of changes in the surface structure; because of their variety, they also require accurate and robust registration. A new crater detection algorithm, used to extract features that will be integrated in an image registration framework, is presented. A marked point process-based method has been developed to model the spatial distribution of elliptical objects (i.e. the craters) and a birth-death Markov chain Monte Carlo method, coupled with a region-based scheme aiming at computational efficiency, is used to find the optimal configuration fitting the image. The extracted features are exploited, together with a newly defined fitness function based on a modified Hausdorff distance, by an image registration algorithm whose architecture has been designed to minimize the computational time.

Using Redundant Information From Multiple Aerial Images for the Detection of Bomb Craters Based on Marked Point Processes

“…However, we have another application domain and are not interested in the more precise shape of craters. To the best of our knowledge there are two contributions dealing with MPPs in the context of planetary crater detection (Troglio et al, 2010;Solarna et al, 2017). To reduce the computational effort in the optimization process, Solarna et al (2017) create a birth map from the available contour map via generalized Hough transform and Gaussian filtering.…”

Marked Point Processes for the Automatic Detection of Bomb Craters in Aerial Wartime Images

“…In the context of planetary crater detection, we are aware of two contributions dealing with MPPs (Troglio et al, 2010;Solarna et al, 2017). To reduce the computational effort in the optimization process, Solarna et al (2017) create a birth map from the available contour map via generalized Hough transform and Gaussian filtering.…”

Generating Impact Maps From Automatically Detected Bomb Craters in Aerial Wartime Images Using Marked Point Processes

“…To the best of our knowledge there are only two contributions dealing with marked point processes in the context of planetary crater detection (Troglio et al, 2010;Solarna et al, 2017). As the optimization of marked point processes is computationally expensive, Solarna et al (2017) create a birth map from the contour map via Generalized Hough Transform and Gaussian filtering.…”

“…As the optimization of marked point processes is computationally expensive, Solarna et al (2017) create a birth map from the contour map via Generalized Hough Transform and Gaussian filtering. In this way, only a part of the image has to be considered for sampling.…”