![]() ![]() In more complex samples, like those with more phases or with chemically zoned phases, mineral classification of X-ray maps are likely to require care and may be difficult to validate. Thus, mineral proportions calculated from classification of X-ray maps must be considered critically, even for simple rocks. The Ridge Rock Studios team consists of creative photographers as well as clothing and food stylists. In this example, pixels including both plagioclase and olivine tend to be classified as clinopyroxene. The most common source of misclassification is “mixed pixels”-those that contain signatures from multiple phases. ![]() Stone Accents are attractive and functional. The results of supervised classifications depend strongly on the user’s selection of training areas, and small errors in defined training areas (e.g., a training area for one phase contains an inclusion of another) can produce large errors. Multispec Ridge Rock ONE GALLON Like the colors in nature, Multispec Stone Accents are dimensional and contain individual flecks of different colors, subtly blended to create the illusion of depth and texture of natural stones, Stone Accents easily applied in a one-coat finish. The major scientic objectives of the Pancam images are the identication of surface targets such as outcrop- s, ridges and troughs and the variety of rocks. The best match for this fragment comes from an unsupervised classification using the ISODATA algorithm (most minerals were placed into multiple classes, which had to be manually recombined), and the second closest match was a supervised classification using a Euclidean distance classifier. The multispectral data accessed from Pancam instruments provides abundant information for autonomous science analysis. Results of classification algorithms varied widely in accuracy-from ~1% to more than 15% misclassified pixels compared to the reference. The true (reference) mineral proportions of the fragment were measured manually from the X-ray maps. This fragment contains only plagioclase, orthopyroxene, olivine, clinopyroxene, and chromite each has a constant composition across the fragment. with outcrops of relatively pure anorthosite quite common. The entire region is seen to be highly an- orthositic. Several image classification algorithms (implemented in the programs Erdas Imagine and Multispec) were evaluated on a very simple rock-a fragment of noritic anorthositic granulite in a thin section of lunar meteorite ALHA81005. Calibrated multispectral images from five orbits of Clementine data provide compositional information at a scale that allows di- verse geologic features to be analyzed and compared. However, different image classification algorithms can yield different inferred mineral proportions and thus deviate from the true modal mineralogy. ![]() The mineral proportions of rocks or rock fragments in thin section can be retrieved from electron microprobe element X-ray maps using multispectral image classification software. ![]()
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