Integrating human and machine intelligence in galaxy morphology classification tasks
نویسندگان
چکیده
منابع مشابه
Machine Learning for Galaxy Morphology Classification
In this work, decision tree learning algorithms and fuzzy inferencing systems are applied for galaxy morphology classification. In particular, the CART, the C4.5, the Random Forest and fuzzy logic algorithms are studied and reliable classifiers are developed to distinguish between spiral galaxies, elliptical galaxies or star/unknown galactic objects. Morphology information for the training and ...
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We apply machine learning techniques to the problem of galaxy morphology classification. We use both supervised and unsupervised methods to study the Galaxy Zoo dataset of 61,578 pre-classified galaxies. After image pre-processing, we perform multi-class classification using the following algorithms: one-vs-all SVM with an RBF kernel, decision tree, random forest, AdaBoost classifier, and KNN. ...
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We present an application of Mathematical Morphology (MM) for the classification of astronomical objects, both for star/galaxy differentiation and galaxy morphology classification. We demonstrate that, for CCD images, 99.3 ± 3.8% of galaxies can be separated from stars using MM, with 19.4 ± 7.9% of the stars being misclassified. We demonstrate that, for photographic plate images, the number of ...
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This paper introduces the concept of size functions in galaxy morphology classification, which are geometrical-topological shape descriptors which can be tailor-made to describe the shapes of objects of interest. For the three main classes of galaxies obtained from the Hubble classification scheme, namely, elliptical, spiral and lenticular, the size functions are obtained from two sets of measu...
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The goal of this project is to classify galaxy morphologies. Generally, galaxy morphologies fall into one of two categories: "early types" (elliptical galaxies) and spiral galaxies, like the Milky Way. Additionally, a celestial object of interest may be categorized as neither, which usually corresponds to an image of a point source (e.g. a star) or to an artifact of the data. Although humans ar...
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ژورنال
عنوان ژورنال: Monthly Notices of the Royal Astronomical Society
سال: 2018
ISSN: 0035-8711,1365-2966
DOI: 10.1093/mnras/sty503