Noniterative Super-Resolution Technique Combining SVA With Modified Geometric Mean Filter
We propose a super-resolution algorithm that combines spatially variant apodization (SVA) with a modified geometric mean filter to improve the resolution of synthetic aperture radar (SAR) images and reduce sidelobes simultaneously. This method does not require iterative calculation. The efficacy of...
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| Veröffentlicht in: | IEEE geoscience and remote sensing letters 2010-10, Vol.7 (4), p.713-717 |
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| container_title | IEEE geoscience and remote sensing letters |
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| creator | Lim, Byoung-Gyun Woo, Jae-Choon Kim, Young-Soo |
| description | We propose a super-resolution algorithm that combines spatially variant apodization (SVA) with a modified geometric mean filter to improve the resolution of synthetic aperture radar (SAR) images and reduce sidelobes simultaneously. This method does not require iterative calculation. The efficacy of the proposed algorithm is verified by simulation with point targets and in experiments with a real SAR image. The proposed method improved resolution by 40% compared to SVA and phase-extension inverse filtering. |
| doi_str_mv | 10.1109/LGRS.2010.2046877 |
| format | Article |
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The proposed method improved resolution by 40% compared to SVA and phase-extension inverse filtering.</description><subject>Algorithms</subject><subject>Apodization</subject><subject>Bandwidth</subject><subject>Chirp</subject><subject>Filtering</subject><subject>Geometric mean filter (GMF)</subject><subject>Image resolution</subject><subject>Inverse</subject><subject>Iterative algorithms</subject><subject>Matched filters</subject><subject>Mathematical analysis</subject><subject>Pulse compression methods</subject><subject>Sidelobes</subject><subject>Signal resolution</subject><subject>Spatial resolution</subject><subject>spatially variant apodization (SVA)</subject><subject>super-resolution</subject><subject>Synthetic aperture radar</subject><subject>synthetic aperture radar (SAR)</subject><issn>1545-598X</issn><issn>1558-0571</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkF1LwzAUhosoOKc_QLwJeOFVZ5I2TXI5hpvCprDNr6uSpacuo21m0gr-e1MmXnh1zoHnfTk8UXRJ8IgQLG_ns-VqRHE4KU4zwflRNCCMiRgzTo77PWUxk-LtNDrzfocxTYXgg-j90TamBada8wVo1e3BxUvwtupaYxu0Br1tzGcHaGLrjWlM84FWL2P0atotWtjClAYKNANbQ-uMRgtQDZqaKjSeRyelqjxc_M5h9Dy9W0_u4_nT7GEynsc6oayNqRKlhKIUAmecFQWRLFOMAJFYY0ULlWDOU0E1SyVPONZMbEjCNC2gIDiBZBjdHHr3zoZHfZvXxmuoKtWA7XwuiBCJZJIF8vofubOda8JzeWjCoVVmaaDIgdLOeu-gzPfO1Mp9ByjvXee967x3nf-6DpmrQ8YAwB_P0oyKlCc_4jF5zA</recordid><startdate>201010</startdate><enddate>201010</enddate><creator>Lim, Byoung-Gyun</creator><creator>Woo, Jae-Choon</creator><creator>Kim, Young-Soo</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| identifier | ISSN: 1545-598X |
| ispartof | IEEE geoscience and remote sensing letters, 2010-10, Vol.7 (4), p.713-717 |
| issn | 1545-598X 1558-0571 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Algorithms Apodization Bandwidth Chirp Filtering Geometric mean filter (GMF) Image resolution Inverse Iterative algorithms Matched filters Mathematical analysis Pulse compression methods Sidelobes Signal resolution Spatial resolution spatially variant apodization (SVA) super-resolution Synthetic aperture radar synthetic aperture radar (SAR) |
| title | Noniterative Super-Resolution Technique Combining SVA With Modified Geometric Mean Filter |
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