کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6922706 865105 2014 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
GPU-accelerated large-size VHR images registration via coarse-to-fine matching
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
GPU-accelerated large-size VHR images registration via coarse-to-fine matching
چکیده انگلیسی
This paper presents a coarse-to-fine large-size very high resolution image registration method. This method uses compute unified device architecture to speed up the acquisition of control points and image rectification. In coarse registration, the scale-invariant feature transform algorithm is used to match control points to estimate the initial global transformation parameters between images to be registered. The initial parameters are then used to guide Oriented FAST and Rotated BRIEF (ORB) feature matching in fine registration. To fix local distortion, image rectification is based on a linear mapping function computed from triangulations, and a self-adaptive scan filling algorithm is proposed to determine which triangle each pixel belongs to. Experiments are conducted with large-size satellite images. Results show that a graphics processing unit can obtain significant-acceleration factors while maintaining registration accuracy.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Geosciences - Volume 66, May 2014, Pages 54-65
نویسندگان
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