کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6949486 1451273 2015 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Canonical information analysis
ترجمه فارسی عنوان
تجزیه و تحلیل اطلاعات کانونیکال
کلمات کلیدی
تئوری اطلاعات، برآورد تابع چگالی احتمال، پنجره های پارسن، آنتروپی، حداکثر سازی اطلاعات متقابل، تجزیه و تحلیل اطلاعات کانونیکال متقابل، سیا، آنتروپی تقریبی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر سیستم های اطلاعاتی
چکیده انگلیسی
Canonical correlation analysis is an established multivariate statistical method in which correlation between linear combinations of multivariate sets of variables is maximized. In canonical information analysis introduced here, linear correlation as a measure of association between variables is replaced by the information theoretical, entropy based measure mutual information, which is a much more general measure of association. We make canonical information analysis feasible for large sample problems, including for example multispectral images, due to the use of a fast kernel density estimator for entropy estimation. Canonical information analysis is applied successfully to (1) simple simulated data to illustrate the basic idea and evaluate performance, (2) fusion of weather radar and optical geostationary satellite data in a situation with heavy precipitation, and (3) change detection in optical airborne data. The simulation study shows that canonical information analysis is as accurate as and much faster than algorithms presented in previous work, especially for large sample sizes. URL: http://www.imm.dtu.dk/pubdb/p.php?6270
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: ISPRS Journal of Photogrammetry and Remote Sensing - Volume 101, March 2015, Pages 1-9
نویسندگان
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