{"title":"基于分数阶方法的卫星图像边缘检测","authors":"Shivangi Godbole, G. Phadke","doi":"10.1109/ICIINFS.2018.8721376","DOIUrl":null,"url":null,"abstract":"The aim is to obtain a pertinent satellite image edge detection algorithm with various categories of Satellite Images. The data set is taken from the metrological department of India and Internet. The performance algorithms for satellite image edge detection methods are Peak Signal-to-Noise Ratio (PSNR), Mean Square Error (MSE),and elapsed time, as well as good human visual understanding.Quantitavely and qualitatively by both sides,fractional order method,canny operator and Laplacian Gaussian operator was found to be the best satellite image edge detection method. Also, The various real-time data which was used for verification purpose showed similar results. All of the algorithms required the same elapsed time.","PeriodicalId":397083,"journal":{"name":"2018 IEEE 13th International Conference on Industrial and Information Systems (ICIIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Satellite Image Edge Detection using Fractional order method\",\"authors\":\"Shivangi Godbole, G. Phadke\",\"doi\":\"10.1109/ICIINFS.2018.8721376\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim is to obtain a pertinent satellite image edge detection algorithm with various categories of Satellite Images. The data set is taken from the metrological department of India and Internet. The performance algorithms for satellite image edge detection methods are Peak Signal-to-Noise Ratio (PSNR), Mean Square Error (MSE),and elapsed time, as well as good human visual understanding.Quantitavely and qualitatively by both sides,fractional order method,canny operator and Laplacian Gaussian operator was found to be the best satellite image edge detection method. Also, The various real-time data which was used for verification purpose showed similar results. All of the algorithms required the same elapsed time.\",\"PeriodicalId\":397083,\"journal\":{\"name\":\"2018 IEEE 13th International Conference on Industrial and Information Systems (ICIIS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 13th International Conference on Industrial and Information Systems (ICIIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIINFS.2018.8721376\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 13th International Conference on Industrial and Information Systems (ICIIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIINFS.2018.8721376","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Satellite Image Edge Detection using Fractional order method
The aim is to obtain a pertinent satellite image edge detection algorithm with various categories of Satellite Images. The data set is taken from the metrological department of India and Internet. The performance algorithms for satellite image edge detection methods are Peak Signal-to-Noise Ratio (PSNR), Mean Square Error (MSE),and elapsed time, as well as good human visual understanding.Quantitavely and qualitatively by both sides,fractional order method,canny operator and Laplacian Gaussian operator was found to be the best satellite image edge detection method. Also, The various real-time data which was used for verification purpose showed similar results. All of the algorithms required the same elapsed time.