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Integrated method for crater detection from topography and optical images and the new PH9224GT catalogue of Phobos impact craters

Lončarić, Sven; Salamunićcar, Goran; Pina, Pedro +2 more

In a large majority of lunar and planetary surface images, impact craters are the most abundant geological features. Therefore, it is not surprising that crater detection algorithms (CDAs) are one of the most studied subjects of image processing and analysis in lunar and planetary science. In this work we are proposing an Integrated CDA, consistin…

Crater detection via genetic search methods to reduce image features

Cohen, Joseph Paul; Ding, Wei

Recent approaches to crater detection have been inspired by face detection's use of gray-scale texture features. Using gray-scale texture features for supervised machine learning crater detection algorithms provides better classification of craters in planetary images than previous methods. When using Haar features it is typical to generate thousa…

PlanetServer: Innovative approaches for the online analysis of hyperspectral satellite data from Mars

Rossi, A. P.; Flahaut, J.; Oosthoek, J. H. P. +4 more

PlanetServer is a WebGIS system, currently under development, enabling the online analysis of Compact Reconnaissance Imaging Spectrometer (CRISM) hyperspectral data from Mars. It is part of the EarthServer project which builds infrastructure for online access and analysis of huge Earth Science datasets. Core functionality consists of the rasdaman …