کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
850694 909288 2013 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Hyperspectral and panchromatic image fusion using unmixing-based constrained nonnegative matrix factorization
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی (عمومی)
پیش نمایش صفحه اول مقاله
Hyperspectral and panchromatic image fusion using unmixing-based constrained nonnegative matrix factorization
چکیده انگلیسی

Image fusion is an important technique in remote sensing, as it could effectively combine the high spatial and the high spectral resolutions in order to obtain the complete and accurate description of the observed scene. To date, many image fusion techniques have been developed. However, the available methods could hardly produce the satisfactory results in dealing with the fusion between the hyperspectral image and panchromatic image, especially in the spectral aspect. Therefore, in this paper, a new fusion approach, called unmixing-based constrained nonnegative matrix factorization (UCNMF), is proposed. This approach uses the NMF unmixing technique to generate the abundance matrix and uses the panchromatic image to sharpen the the material maps. The constrained term aiming at preserving the spectral information is added and the fusion problem is turned into a constrained optimization problem. Additionally, a projected gradient algorithm aiming at get the numerical solution of the optimization problem is presented. Finally, three groups of experiments are given to demonstrate that the proposed fusion method could be recognized as an effective technique in hyperspectral image fusion.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Optik - International Journal for Light and Electron Optics - Volume 124, Issue 13, July 2013, Pages 1601–1608
نویسندگان
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