计算机应用与软件2016，Vol.33Issue(6)：138-140,145,4.DOI:10.3969/j.issn.1000-386x.2016.06.034
基于分布式计算的遥感图像水体识别研究
ON IDENTIFYING WATER BODY IN REMOTE SENSING IMAGES BASED ON DISTRIBUTED COMPUTING
摘要
Abstract
In order to improve the speed of remote sensing data processing and solve data-intensive and computing-intensive problems in remote sensing information extraction,we introduced the parallel computing idea to remote sensing image processing and information extraction,and built a Landsat ETM+images-based water body extraction model for distributed remote sensing image.We took Weigan River basin as the study region,used several methods such as single-band threshold,relationship between multiband spectra and water index,etc. to conduct experiments of automatic water body extraction.Experimental results demonstrated that the model has higher identification accuracy,it can identify water body information quickly,and has stable scalability and stretchability as well.关键词
大数据/遥感/水体识别/并行计算Key words
Big data/Remote sensing/Water body identification/Parallel computing分类
信息技术与安全科学引用本文复制引用
杨柳,田生伟..基于分布式计算的遥感图像水体识别研究[J].计算机应用与软件,2016,33(6):138-140,145,4.基金项目
国家自然科学基金项目（61363083，41261090）；新疆研究生科研创新项目（XJGRI2014033）。 （）
