کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6949616 | 1451280 | 2014 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Column-generation kernel nonlocal joint collaborative representation for hyperspectral image classification
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
سیستم های اطلاعاتی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Column-generation kernel nonlocal joint collaborative representation for hyperspectral image classification Column-generation kernel nonlocal joint collaborative representation for hyperspectral image classification](/preview/png/6949616.png)
چکیده انگلیسی
We propose a kernel nonlocal joint collaborative representation classification method based on column generation for hyperspectral imagery. The proposed approach first maps the original spectral space to a higher implicit kernel space by directly taking the similarity measures between spectral pixels as a feature, and then utilizes a nonlocal joint collaborative regression model for kernel signal reconstruction and the subsequent pixel classification. We also develop two kinds of specific radial basis function kernels for measuring the similarities. The experimental results indicate that the proposed algorithms obtain a competitive performance and outperform other state-of-the-art regression-based classifiers and the classical support vector machines classifier.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: ISPRS Journal of Photogrammetry and Remote Sensing - Volume 94, August 2014, Pages 25-36
Journal: ISPRS Journal of Photogrammetry and Remote Sensing - Volume 94, August 2014, Pages 25-36
نویسندگان
Jiayi Li, Hongyan Zhang, Liangpei Zhang,