کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
848583 1470603 2015 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Robust destriping of MODIS and hyperspectral data using a hybrid unidirectional total variation model
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی (عمومی)
پیش نمایش صفحه اول مقاله
Robust destriping of MODIS and hyperspectral data using a hybrid unidirectional total variation model
چکیده انگلیسی

Imaging from a degenerated push broom scanner usually leads to an undesired stripe noise which seriously affected the image quality. To eliminate this kind of artifact, a robust hybrid unidirectional total variation model is presented. The traditional unidirectional total variation model produces an excellent performance only on weak and moderate-amplitude stripe images while does a poor job on heavy ones. By introducing a simple weighted matrix, a hybrid unidirectional total variation model with two combined ℓ1 data-fidelity terms is launched to handle various stripe noises with different intensity. An efficient numerical algorithm based on the split Bregman iteration is developed to solve the hybrid ℓ1-regularized optimization problem. Comparative results on simulated and real striped images taken with MODIS and hyperspectral imaging systems demonstrated that the proposed method not only can effectively remove the stripe noise but also preserve the edge and detail information.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Optik - International Journal for Light and Electron Optics - Volume 126, Issues 7–8, April 2015, Pages 838–845
نویسندگان
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