Optimum Index Factor and Cloud Removal on the Landsat Imagery Data Processing

作     者：M S Ziliwu Tulus Sutarman M Zarlis Z Situmorang A S Harahap 

作者机构：Postgraduate School Department of Technical Information Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia Department of Mathematics Faculty of Mathematic and Natural Sciences Universitas Sumatera Utara Medan Indonesia Faculty of Computer Science Universitas Katolik Santo Thomas Medan Indonesia 

出 版 物：《Journal of Physics: Conference Series》 

年 卷 期：2018年第1116卷第2期

学科分类：07[理学] 0702[理学-物理学] 

摘      要：The research by using landsat imagery data which is a remote observation and recording technology equipped with Enhanced Thematic Mapper Plus (ETM +) sensor has been conducted. Landsat-7 has a sensor that produces images with 7 bands of 1, 2, 3, 4, 5, and 7 with spatial resolution of 30x30 m and band 6 with a spatial resolution of 120×120 m. The image processing begins with obtaining the best combination of Optimum Index Factor (OIF) is one of the methods used to get the proper *** data imagery also contains cloud cover which can interfere and hamper in the process of obtaining more accurate landsat image data. Cloud removal by using K-Means Clustering process can separate and clusterize each object in the image based on the closest color and distance so that clouds and other land cover can be clustered and freed from the cloud visually.