کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6900206 | 1446487 | 2018 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
K-Nearest Neighbor combined with guided filter for hyperspectral image classification
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: K-Nearest Neighbor combined with guided filter for hyperspectral image classification K-Nearest Neighbor combined with guided filter for hyperspectral image classification](/preview/png/6900206.png)
چکیده انگلیسی
Explosive growth of applications in hyperspectral image has brought challenge of how to efficiently classify the objects by their spectral feature. Under this circumstance, to improve the classification accuracy, lots of spectral-spatial approaches are adopted, instead of traditional pixel-wise classification. In this paper, we combine k-nearest neighbor with guided filter to mine spatial information effectively or and optimize the classification accuracy. To verify the feasibility of the two proposed methods, we evaluate performance over two benchmark datasets. Comparative experiments suggest that the proposed approaches show better accuracy.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Computer Science - Volume 129, 2018, Pages 159-165
Journal: Procedia Computer Science - Volume 129, 2018, Pages 159-165
نویسندگان
Yanhui Guo, Siming Han, Ying Li, Cuifen Zhang, Yu Bai,