کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6922665 | 865078 | 2014 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Parallel relative radiometric normalisation for remote sensing image mosaics
ترجمه فارسی عنوان
مقیاس نرمال نسبی رادیومتری نسبی برای موزاییک تصویر سنجش از راه دور
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
چکیده انگلیسی
Relative radiometric normalisation (RRN) is a vital step to achieve radiometric consistency among remote sensing images. Geo-analysis over large areas often involves mosaicking massive remote sensing images. Hence RRN becomes a data-intensive and computing-intensive task. This study implements a parallel RNN method based on the iteratively re-weighted multivariate alteration detection (IR-MAD) transformation and orthogonal regression. To parallelise the method of IR-MAD and orthogonal regression, there are two key problems: the normalisation path determination and the task dependence on normalisation coefficients calculation. In this paper, the reference image and normalisation paths are determined based on the shortest distance algorithm to reduce normalisation error. Formulas of orthogonal regression are acquired considering the effect of the normalisation path to reduce the task dependence on the calculation of coefficients. A master-slave parallel mode is proposed to implement the parallel method, and a task queue and a process queue are used for task scheduling. Experiments show that the parallel RRN method provides good normalisation results and favourable parallel speed-up, efficiency and scalability, which indicate that the parallel method can handle large volumes of remote sensing images efficiently.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Geosciences - Volume 73, December 2014, Pages 28-36
Journal: Computers & Geosciences - Volume 73, December 2014, Pages 28-36
نویسندگان
Chong Chen, Zhenjie Chen, Manchun Li, Yongxue Liu, Liang Cheng, Yibin Ren,