{"title":"伽玛分布序列的分割","authors":"G. G. A. Varela, M. Ré, S. Masuelli","doi":"10.31527/ANALESAFA.2019.30.2.36","DOIUrl":null,"url":null,"abstract":"In images obtained with coherent lighting such as synthetic aperture radar (SAR), a multiplicative noise known as speckle appears. The speckle makes radiometric homogeneous zones respond with Gamma type distributions. The detection of edges in this type of images is of interest and usefulness in many applications. In this paper three methods of analysis by segmentation based on the calculation of the Jensen Shannon Divergence that can be applied to SAR images are proposed. The approximation of the probability distributions was carried out using the density Kernel method.","PeriodicalId":41478,"journal":{"name":"Anales AFA","volume":"23 1","pages":""},"PeriodicalIF":0.1000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"SEGMENTATION OF SEQUENCES WITH GAMMA DISTRIBUTION\",\"authors\":\"G. G. A. Varela, M. Ré, S. Masuelli\",\"doi\":\"10.31527/ANALESAFA.2019.30.2.36\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In images obtained with coherent lighting such as synthetic aperture radar (SAR), a multiplicative noise known as speckle appears. The speckle makes radiometric homogeneous zones respond with Gamma type distributions. The detection of edges in this type of images is of interest and usefulness in many applications. In this paper three methods of analysis by segmentation based on the calculation of the Jensen Shannon Divergence that can be applied to SAR images are proposed. The approximation of the probability distributions was carried out using the density Kernel method.\",\"PeriodicalId\":41478,\"journal\":{\"name\":\"Anales AFA\",\"volume\":\"23 1\",\"pages\":\"\"},\"PeriodicalIF\":0.1000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Anales AFA\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31527/ANALESAFA.2019.30.2.36\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PHYSICS, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anales AFA","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31527/ANALESAFA.2019.30.2.36","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
In images obtained with coherent lighting such as synthetic aperture radar (SAR), a multiplicative noise known as speckle appears. The speckle makes radiometric homogeneous zones respond with Gamma type distributions. The detection of edges in this type of images is of interest and usefulness in many applications. In this paper three methods of analysis by segmentation based on the calculation of the Jensen Shannon Divergence that can be applied to SAR images are proposed. The approximation of the probability distributions was carried out using the density Kernel method.
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