کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1763784 1020024 2015 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Automated quantitative measurements and associated error covariances for planetary image analysis
ترجمه فارسی عنوان
اندازه گیری های کمی سنجی خودکار و کوواریانس خطا مربوط به تجزیه و تحلیل تصویر سیاره
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات علوم فضا و نجوم
چکیده انگلیسی

This paper presents a flexible approach for extracting measurements from planetary images based upon the newly developed linear Poisson models technique. The approach has the ability to learn surface textures then estimate the quantity of terrains exhibiting similar textures in new images. This approach is suitable for the estimation of dune field coverage or other repeating structures. Whilst other approaches exist, this method is unique for its incorporation of a comprehensive error theory, which includes contributions to uncertainty arising from training and subsequent use. The error theory is capable of producing measurement error covariances, which are essential for the scientific interpretation of measurements, i.e. for the plotting of error bars. In order to apply linear Poisson models, we demonstrate how terrains can be described using histograms created using a ‘Poisson blob’ image representation for capturing texture information. The validity of the method is corroborated using Monte Carlo simulations. The potential of the method is then demonstrated using terrain images created from bootstrap re-sampling of martian HiRISE data.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Advances in Space Research - Volume 56, Issue 1, 1 July 2015, Pages 92–105
نویسندگان
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