Paper Infomation
Parallel Computing Reasearch of Normalized Difference Vegetation Index Based on OpenMP and OpenCV
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Author: Xianyu Zuo, Dongdong Shang, Beibei Li, Minghao Xiong, Xiangzhi Huang
Abstract: The study of normalized difference vegetation index (NDVI) is the main field of remote sensing application, and also an important issue in the field of remote sensing. With the progress of remote sensing in China, the high resolution satellite developed by ourselves has been launched in succession, which has accelerated and expanded the application range of high resolution satellite images produces a large number of remote sensing images. High resolution remote sensing images produced by satellites every day also show exponential growth, reaching the order for Terabyte (TB) even Petabyte (PB) level. However, the traditional serial vegetation index extraction algorithm can’t extract the vegetation index from these massive remote sensing data in time and effectively. Based on this, this paper will use the normalized vegetation index (NDVI) algorithm as an example, Optimization of the NDVI algorithm, which based on the support of the high performance research platform and parallel computing technology, achieved the parallel computation method of NDVI fast extraction through C++ programming language library function calling OpenMP and OpenCV and verified the validity of NDVI parallel extraction algorithm by GF-1 data.
Keywords: Normalized Difference Vegetation Index, NDVI Algorithm, Parallel Computing, OpenMP, OpenCV
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