Michael Beham, R. Splechtna, Silvana Podaras, D. Gračanin, K. Matkovič
{"title":"MC3 — Modified Frame Differencing of Satellite Images to Detect Temporal Changes in a Natural Preserve","authors":"Michael Beham, R. Splechtna, Silvana Podaras, D. Gračanin, K. Matkovič","doi":"10.1109/VAST.2017.8585476","DOIUrl":null,"url":null,"abstract":"Multi spectral imaging from a satellite enables to analyze the health of an natural environment over time. However, low resolution of the satellite images, and a lack of information of human activity and geological information makes it difficult to find and understand all temporal changes. We present an approach to analyze the change over time using satellite images of a natural preserve. We create a map, which contains all changes between two time steps, by using frame differencing. We then exclude uninteresting natural phenomena like clouds. The resulting map is than used to find all changes. Each of the changes is then analyzed in detail by using state of the art algorithm like false-colored images and ratio transformations.","PeriodicalId":149607,"journal":{"name":"2017 IEEE Conference on Visual Analytics Science and Technology (VAST)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Conference on Visual Analytics Science and Technology (VAST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VAST.2017.8585476","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Multi spectral imaging from a satellite enables to analyze the health of an natural environment over time. However, low resolution of the satellite images, and a lack of information of human activity and geological information makes it difficult to find and understand all temporal changes. We present an approach to analyze the change over time using satellite images of a natural preserve. We create a map, which contains all changes between two time steps, by using frame differencing. We then exclude uninteresting natural phenomena like clouds. The resulting map is than used to find all changes. Each of the changes is then analyzed in detail by using state of the art algorithm like false-colored images and ratio transformations.