Ship Classification in SAR Image by Joint Feature and Classifier Selection

IEEE Geoscience and Remote Sensing Letters - Tập 13 Số 2 - Trang 212-216 - 2016
Haitao Lang1, Jie Zhang2, Xi Zhang2, Junmin Meng2
1Department of Physics and Electronics, Beijing University of Chemical Technology, Beijing, China
2State Oceanic Administration, First Institute of Oceanography, Qingdao, China

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Tài liệu tham khảo

10.1109/LGRS.2013.2268875

tang, 2014, Feature selection for classification: A review, Data Classification Algorithms and Applications

10.1109/CVRS.2012.6421279

kuo, 2014, A kernel-based feature selection method for SVM with RBF kernel for hyperspectral image classification, IEEE J Sel Topics Appl Earth Observ Remote Sens, 7, 317, 10.1109/JSTARS.2013.2262926

10.1016/0167-8655(94)90127-9

10.1016/j.patcog.2009.03.001

10.1111/j.1751-5823.2001.tb00465.x

10.1016/S0169-7439(99)00047-7

quinlan, 2014, C4 5 Programs for Machine Learning

10.1145/1961189.1961199

10.1109/TGRS.2008.2008721

10.1109/TGRS.2007.897437

10.1109/LGRS.2012.2237377

10.1109/TGRS.2011.2112371

10.1088/1755-1315/17/1/012119

zhang, 2010, The capability analysis of ship classification by structure feature using SAR images, Acta Oceanol Sin, 32, 146

el-darymli, 2013, Target detection in synthetic aperture radar imagery: A state-of-the-art survey, J Appl Remote Sens, 7

10.1109/TGRS.2010.2071879

10.1117/1.JRS.8.083623

10.1109/LGRS.2013.2262073

10.1109/IGARSS.2013.6723352