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Article: Novel adaptive suppression method for SAR image speckles

TitleNovel adaptive suppression method for SAR image speckles
一种新的SAR图像斑点噪声自适应抑制方法
Authors
KeywordsAdaptive step-size iteration
Anisotropic diffusion
Euler's elastic model
Speckle suppression
Issue Date2011
PublisherXitong Gongcheng yu Dianzi Jishu. The Journal's website is located at http://www.sys-ele.com/CN/volumn/home.shtml
Citation
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering And Electronics, 2011, v. 33 n. 6, p. 1420-1424 How to Cite?
系统工程与电子技术, 2011, v. 33 n. 6, p. 1420-1424 How to Cite?
AbstractTo effectively preserve synthetic aperture radar (SAR) image edges while filtering, an anisotropic diffusion denoising model based on Euler's elastic energy model is presented. First, a minimum-energy variation model is derived from the anisotropic diffusion model. To preserve the image details while filtering, the Euler's elastic energy model is introduced. Then an adaptive step-size iteration scheme is proposed to improve the computational efficiency. The new algorithm using both simulated and real SAR images is validated. The experimental results show that the proposed method not only preserves image details effectively while filtering, but also improves the computational efficiency.
在合成孔徑雷達(synthetic aperture radar,SAR)圖像斑點噪聲抑制處理中,為有效保護圖像細節,提出歐拉彈性能量各向異性擴散去噪模型。該模型將各向異性擴散模型轉化為最小能量變分模型,結合歐拉彈性能量模型的邊界保護和增強能力,在抑制噪聲的同時能更有效地保護和增強細節信息。同時為了提高計算效率,提出自適應變步長去噪算法。仿真和真實SAR圖像的實驗結果表明,該算法不僅在抑制噪聲的同時能夠很好地保護圖像細節,而且有效減少了計算時間、提高了效率。
Persistent Identifierhttp://hdl.handle.net/10722/139293
ISSN
2015 SCImago Journal Rankings: 0.230
References

 

DC FieldValueLanguage
dc.contributor.authorZhang, Qen_HK
dc.contributor.authorShen, MFen_HK
dc.contributor.authorChang, CQen_HK
dc.date.accessioned2011-09-23T05:47:58Z-
dc.date.available2011-09-23T05:47:58Z-
dc.date.issued2011en_HK
dc.identifier.citationXi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering And Electronics, 2011, v. 33 n. 6, p. 1420-1424en_HK
dc.identifier.citation系统工程与电子技术, 2011, v. 33 n. 6, p. 1420-1424-
dc.identifier.issn1001-506Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/139293-
dc.description.abstractTo effectively preserve synthetic aperture radar (SAR) image edges while filtering, an anisotropic diffusion denoising model based on Euler's elastic energy model is presented. First, a minimum-energy variation model is derived from the anisotropic diffusion model. To preserve the image details while filtering, the Euler's elastic energy model is introduced. Then an adaptive step-size iteration scheme is proposed to improve the computational efficiency. The new algorithm using both simulated and real SAR images is validated. The experimental results show that the proposed method not only preserves image details effectively while filtering, but also improves the computational efficiency.en_HK
dc.description.abstract在合成孔徑雷達(synthetic aperture radar,SAR)圖像斑點噪聲抑制處理中,為有效保護圖像細節,提出歐拉彈性能量各向異性擴散去噪模型。該模型將各向異性擴散模型轉化為最小能量變分模型,結合歐拉彈性能量模型的邊界保護和增強能力,在抑制噪聲的同時能更有效地保護和增強細節信息。同時為了提高計算效率,提出自適應變步長去噪算法。仿真和真實SAR圖像的實驗結果表明,該算法不僅在抑制噪聲的同時能夠很好地保護圖像細節,而且有效減少了計算時間、提高了效率。-
dc.languageengen_US
dc.publisherXitong Gongcheng yu Dianzi Jishu. The Journal's website is located at http://www.sys-ele.com/CN/volumn/home.shtml-
dc.relation.ispartofXi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronicsen_HK
dc.relation.ispartof系统工程与电子技术-
dc.subjectAdaptive step-size iterationen_HK
dc.subjectAnisotropic diffusionen_HK
dc.subjectEuler's elastic modelen_HK
dc.subjectSpeckle suppressionen_HK
dc.titleNovel adaptive suppression method for SAR image specklesen_HK
dc.title一种新的SAR图像斑点噪声自适应抑制方法-
dc.typeArticleen_HK
dc.identifier.emailChang, CQ: cqchang@eee.hku.hken_HK
dc.identifier.authorityChang, CQ=rp00095en_HK
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.3969/j.issn.1001-506X.2011.06.43en_HK
dc.identifier.scopuseid_2-s2.0-79960073979en_HK
dc.identifier.hkuros196544en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-79960073979&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume33en_HK
dc.identifier.issue6en_HK
dc.identifier.spage1420en_HK
dc.identifier.epage1424en_HK
dc.publisher.placeChina-
dc.identifier.scopusauthoridZhang, Q=42462752000en_HK
dc.identifier.scopusauthoridShen, MF=7401466148en_HK
dc.identifier.scopusauthoridChang, CQ=7407033052en_HK

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