کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
535958 870418 2011 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Bayesian change detection based on spatial sampling and Gaussian mixture model
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Bayesian change detection based on spatial sampling and Gaussian mixture model
چکیده انگلیسی

A Gaussian mixture model (GMM) and Bayesian inferencing based unsupervised change detection algorithm is proposed to achieve change detection on the difference image computed from satellite images of the same scene acquired at different time instances. Each pixel of the difference image is represented by a feature vector constructed from the difference image values of the neighbouring pixels to consider the contextual information. The feature vectors of the difference image are modelled as a GMM. The conditional posterior probabilities of changed and unchanged pixel classes are automatically estimated by partitioning GMM into two distributions by minimizing an objective function. Bayesian inferencing is then employed to segment the difference image into changed and unchanged classes by using the conditional posterior probability of each class. Change detection results are shown on real datasets.


► A general purpose dynamic spatial-contextual change detection method is achieved.
► Automatic change detection is achieved using Bayesian inferencing and Gaussian mixture modelling.
► Change detection on SAR and optical images is achieved with highaccuracy.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 32, Issue 12, 1 September 2011, Pages 1635–1642
نویسندگان
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