CAJ | 학술논문

MapReduce在云计算及其相关应用中发挥着重要作用，将其应用到图像处理中可以提高计算效率。然而，该模型设计的初衷是处理文本数据，对图像等二进制文件的处理支持能力相对不足。在充分调研国内外文献基础上，作者从MapReduce概述、图像数据格式设计和图像处理算法研究和在遥感图像处理中的典型应用等方面进行了综述，最后探讨了MapReduce在图像处理研究中的发展趋势。第一次比较全面地对MapReduce在图像处理中的应用进行了论述，对扩展MapReduce的应用范围和提高图像处理速度具有参考价值。
MapReduce재운계산급기상관응용중발휘착중요작용，장기응용도도상처리중가이제고계산효솔。연이，해모형설계적초충시처리문본수거，대도상등이진제문건적처리지지능력상대불족。재충분조연국내외문헌기출상，작자종MapReduce개술、도상수거격식설계화도상처리산법연구화재요감도상처리중적전형응용등방면진행료종술，최후탐토료MapReduce재도상처리연구중적발전추세。제일차비교전면지대MapReduce재도상처리중적응용진행료논술，대확전MapReduce적응용범위화제고도상처리속도구유삼고개치。
Abts ract:MapReduce programming model plays an important role in cloud computing and application.It will be effective to introduce this model to image processing.However, MapReduce programming model was designed to process text data which means it cannot support the binary image.On the basis of existing research, the paper gives a survey from these aspects as MapReduce programming model summary, the image processing interface design and image processing algorithm research and deploying MapReduce in remote sensing image processing, and discusses about the development in the end.It is the first time to review the MapReduce programming model in image processing and it is reference value to deploy the research scope of MapReduce programming model.