Semi-Automatic Measures of Activity in the Inca City Region of Mars Using Morphological Image Analysis

Abstract

Semi-automatic image feature extraction methods have been applied to a HiRISE data set covering two spring seasons of Inca City observations. The techniques used are being discussed and first results are shown and the ways forward to fully automatic methods are indicated.

Michael Aye
Michael Aye
Research Scientist in Planetary Science

My research interests include remote sensing of surfaces, related machine learning studies and open source software.

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