کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4627911 1631818 2014 19 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Accurate point matching based on multi-objective Genetic Algorithm for multi-sensor satellite imagery
ترجمه فارسی عنوان
تطبیق نقطه دقیق بر اساس الگوریتم ژنتیک چند هدفه برای تصاویر ماهواره چند سنسور
کلمات کلیدی
ثبت تصویر تصویر چند سنسور، بهینه سازی چند هدفه، الگوریتم ژنتیک
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات کاربردی
چکیده انگلیسی

This paper investigates a novel approach for point matching of multi-sensor satellite imagery. The feature (corner) points extracted using an improved version of the Harris Corner Detector (HCD) is matched using multi-objective optimization based on a Genetic Algorithm (GA). An objective switching approach to optimization that incorporates an angle criterion, distance condition and point matching condition in the multi-objective fitness function is applied to match corresponding corner-points between the reference image and the sensed image. The matched points obtained in this way are used to align the sensed image with a reference image by applying an affine transformation. From the results obtained, the performance of the image registration is evaluated and compared with existing methods, namely Nearest Neighbor–Random SAmple Consensus (NN–RanSAC) and multi-objective Discrete Particle Swarm Optimization (DPSO). From the performed experiments it can be concluded that the proposed approach is an accurate method for registration of multi-sensor satellite imagery.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematics and Computation - Volume 236, 1 June 2014, Pages 546–564
نویسندگان
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