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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2016.12
- 수록면
- 752 - 761 (10page)
이용수
초록· 키워드
오류제보하기
Hyperspectral images are often contaminated with stripe noise, which severely degrades the imagingquality and the precision of the subsequent processing. In this paper, a variational model is proposed byemploying spectral-spatial adaptive unidirectional variation and a sparse representation. Unlike traditionalmethods, we exploit the spectral correction and remove stripes in different bands and different regionsadaptively, instead of selecting parameters band by band. The regularization strength adapts to the spectrallyvarying stripe intensities and the spatially varying texture information. Spectral correlation is exploited viadictionary learning in the sparse representation framework to prevent spectral distortion. Moreover, theminimization problem, which contains two unsmooth and inseparable l1-norm terms, is optimized by thesplit Bregman approach. Experimental results, on datasets from several imaging systems, demonstrate thatthe proposed method can remove stripe noise effectively and adaptively, as well as preserve original detailinformation.
목차
등록된 정보가 없습니다.
참고문헌 (31)
참고문헌 신청
J. Bioucas-Dias / 2013 / Hyperspectral remote sensing data analysis and future challenges / IEEE Geosci. Remote Sens. Mag 1:6~36
K. Mikelsons / 2014 / Destriping algorithm for improved satellite-derived ocean color product imagery / Opt. Express 22:28058~28070
J. Chen / 2003 / Destriping CMODIS data by power filtering / IEEE Trans. Geosci. Rem. Sens 41:2119~2124
R. Pande-Chhetri / 2011 / De-striping hyperspectral imagery using wavelet transform and adaptive frequency domain filtering / ISPRS J. Photogramm. Remote Sens 66:620~636
B. Münch / 2009 / Stripe and ring artifact removal with combined wavelet-Fourier filtering / Opt. Express 17:8567~8591
K. Mikelsons / 2014 / Destriping algorithm for improved satellite-derived ocean color product imagery / Opt. Express 22:28058~28070
J. Chen / 2003 / Destriping CMODIS data by power filtering / IEEE Trans. Geosci. Rem. Sens 41:2119~2124
R. Pande-Chhetri / 2011 / De-striping hyperspectral imagery using wavelet transform and adaptive frequency domain filtering / ISPRS J. Photogramm. Remote Sens 66:620~636
B. Münch / 2009 / Stripe and ring artifact removal with combined wavelet-Fourier filtering / Opt. Express 17:8567~8591
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