{"title":"A Novel Complex SAR Spatial De-Speckling Filter Evaluation Based On Time-Frequency Domain Formulation Of Texture Information","authors":"I. H. Shahrezaei, Hyun‐cheol Kim","doi":"10.1109/ICRAMET51080.2020.9298645","DOIUrl":null,"url":null,"abstract":"The adverse effects analysis of high-frequency embedded speckle under implementation of spatial de-speckling filters on a reference SAR image is investigated in this paper. The investigation including the speckle probability distribution function (PDF) formulation and the power spectral density (PSD) function modeling as well as quality metrics evaluations. As a novel approach, an objective de-speckling filter classification has been proposed to further categorize the speckle suppression on the basis of their performance. The proposed evaluation method as well as the filter categorization are completely helpful for radar remote sensing and data preservation while dealing with low-resolution image restoration and spatial de-speckling filter application. The spatial resolution simulations are carried out with the help of a hybrid-domain processing algorithm.","PeriodicalId":228482,"journal":{"name":"2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRAMET51080.2020.9298645","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
The adverse effects analysis of high-frequency embedded speckle under implementation of spatial de-speckling filters on a reference SAR image is investigated in this paper. The investigation including the speckle probability distribution function (PDF) formulation and the power spectral density (PSD) function modeling as well as quality metrics evaluations. As a novel approach, an objective de-speckling filter classification has been proposed to further categorize the speckle suppression on the basis of their performance. The proposed evaluation method as well as the filter categorization are completely helpful for radar remote sensing and data preservation while dealing with low-resolution image restoration and spatial de-speckling filter application. The spatial resolution simulations are carried out with the help of a hybrid-domain processing algorithm.