کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
507378 865119 2006 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Remote sensing data change detection based on the CI test of Bayesian networks
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Remote sensing data change detection based on the CI test of Bayesian networks
چکیده انگلیسی

In recent years, the Bayesian network approach has been used as a data-mining tool in many information fields, but it has rarely been used to process remote sensing data. In this paper, we introduce a Bayesian network classifier for remote sensing data change detection. Using the conditional independence (CI) test we can find out relationships among the attributes and construct a Bayesian network that incorporates these relationship constraints.After geometric correction and radiometric normalization, a Bayesian network change detection system based on CI test algorithm is developed and applied to two temporal Landsat TM data acquired in 1994 and 2003 of Beijing area, and the overall change detection classification accuracy can get 92%. The experimental results show that Bayesian network is a newly effective approach for remote sensing data change detection.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Geosciences - Volume 32, Issue 2, March 2006, Pages 195–202
نویسندگان
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