| This work examines the process of extracting landscape features from high resolution digital elevation models. These models were created with images from a stereo camera resident on a satellite orbiting the planet Mars. Previous work in this context describes the use of classification and image segmentation techniques for feature extraction. Several of these techniques are examined and discussed and an approach is presented. This approach employs cluster analysis, image segmentation, and scale-space to create areas of morphological homogeneity. Subsequently, these areas are characterized and merged to define features commonly found in the Martian landscape. |
