کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
530659 869780 2010 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Unsupervised line network extraction in remote sensing using a polyline process
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Unsupervised line network extraction in remote sensing using a polyline process
چکیده انگلیسی

Marked point processes provide a rigorous framework to describe a scene by an unordered set of objects. The efficiency of this modeling has been shown on line network extraction with models manipulating interacting segments. In this paper, we extend this previous modeling to polylines composed of an unknown number of segments. Optimization is done via simulated annealing using a Reversible Jump Markov Chain Monte Carlo (RJMCMC) algorithm. We accelerate the convergence of the algorithm by using appropriate proposal kernels. Results on aerial and satellite images show that this new model outperforms the previous one.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 43, Issue 4, April 2010, Pages 1631–1641
نویسندگان
, , ,