期刊名称：International Journal of Grid and Distributed Computing
印刷版ISSN：2005-4262
出版年度：2015
卷号：8
期号：5
页码：111-116
DOI：10.14257/ijgdc.2015.8.5.10
出版社：SERSC
摘要：Satellites today are prime source of information capture and decision making for research organizations, corporate houses and government departments like weather forecasting, agricultural monitoring etc. Accurate and timely retrieval of data is key challenge for satellites today. The major issue with information capture is mixing of unwanted signals called noise with required vital data which leads to malfunctioning of decision making process. In order to overcome the issue, it becomes a mandate today to design and develop specific filters to different satellites which are problem specific and capable of tuning the captured information in various formats in robust manner. In this work, a review of Satellite image filter for RISAT is presented. These filters work on visible, infrared and water vapor images which are taken from satellites.
关键词：Satellite Images; Filters-Sobel; Prewitt; Robert Cross; Canny
