Parallelizing maximum likelihood classification on computer cluster and graphics processing unit for supervised image classification

作     者：Xuan Shi Bowei Xue 

作者机构：Department of GeosciencesUniversity of ArkansasFayettevilleARUSA 

出 版 物：《International Journal of Digital Earth》 (国际数字地球学报（英文）)

年 卷 期：2017年第10卷第7期

页      面：737-748页

核心收录：

学科分类：0401[教育学-教育学] 04[教育学] 

主　　题：Maximum likelihood classification supervised classification parallel computing graphics processing unit 

摘      要：Supervised image classification has been widely utilized in a variety of remote sensing *** large volume of satellite imagery data and aerial photos are increasingly available,high-performance image processing solutions are required to handle large scale of *** paper introduces how maximum likelihood classification approach is parallelized for implementation on a computer cluster and a graphics processing unit to achieve high performance when processing big imagery *** solution is scalable and satisfies the need of change detection,object identification,and exploratory analysis on large-scale high-resolution imagery data in remote sensing applications.