A. Munir, S. Muliyani, Dian Kurnia Imanda, Ricky Willyantho, Sofia Sa’idah, Edwar
{"title":"Experimental Approach of L-Band Microwave Tomography and Its Image Reconstruction Using CS Method","authors":"A. Munir, S. Muliyani, Dian Kurnia Imanda, Ricky Willyantho, Sofia Sa’idah, Edwar","doi":"10.1109/COMNETSAT53002.2021.9530769","DOIUrl":null,"url":null,"abstract":"Tomography is a technique for observing internal parts of an object through microwave radiation emitted from various angles. This paper contributes to image reconstruction through an experimentally microwave tomography approach with a compressive sensing (CS) method at L-band frequency. The method is chosen due to its efficiency in image reconstruction and the ability to reconstruct an image with a limited input. The process is carried out by taking cross-sectional images of tree trunks resulting from the reconstruction of measured data with different pixel size. The results indicate that the CS method yields the image reconstruction with good quality. The peak signal noise to ratio (PSNR) value at 36 × 36 pixel resolution is about 57.423 dB.","PeriodicalId":148136,"journal":{"name":"2021 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMNETSAT53002.2021.9530769","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Tomography is a technique for observing internal parts of an object through microwave radiation emitted from various angles. This paper contributes to image reconstruction through an experimentally microwave tomography approach with a compressive sensing (CS) method at L-band frequency. The method is chosen due to its efficiency in image reconstruction and the ability to reconstruct an image with a limited input. The process is carried out by taking cross-sectional images of tree trunks resulting from the reconstruction of measured data with different pixel size. The results indicate that the CS method yields the image reconstruction with good quality. The peak signal noise to ratio (PSNR) value at 36 × 36 pixel resolution is about 57.423 dB.