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湖南大学 [70]

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期刊论文 [57]

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	Superpixel Tensor Model for Spatial–Spectral Classification of Remote Sensing Images 期刊论文 IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: Vol.57 No.7, 页码: 4705-4719 作者: Yanfeng Gu; Tianzhu Liu; Jun Li 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/12/13 Feature extraction Remote sensing Kernel Task analysis Algebra Support vector machines Extended morphological profile (EMAP) remote sensing images spatial–spectral classification superpixel tensor
	Density Peak-Based Noisy Label Detection for Hyperspectral Image Classification. 期刊论文 IEEE Transactions on Geoscience & Remote Sensing, 2019, 卷号: Vol.57 No.3, 页码: 1573-1584 作者: Tu, Bing; Zhang, Xiaofei; Kang, Xudong; Zhang, Guoyun; Li, Shutao 收藏 \| 浏览/下载：16/0 \| 提交时间：2019/12/13 Clustering algorithms Density peak (DP) clustering hyperspectral image (HSI) Hyperspectral imaging Labeling Noise measurement noisy label detection Support vector machines support vector machines (SVMs) Training
	Density Peak-Based Noisy Label Detection for Hyperspectral Image Classification 期刊论文 IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: Vol.57 No.3, 页码: 1573-1584 作者: Bing Tu; Xiaofei Zhang; Xudong Kang; Guoyun Zhang; Shutao Li 收藏 \| 浏览/下载：11/0 \| 提交时间：2019/12/13 Noise measurement Training Clustering algorithms Hyperspectral imaging Labeling Support vector machines Density peak (DP) clustering hyperspectral image (HSI) noisy label detection support vector machines (SVMs)
	Spatial Density Peak Clustering for Hyperspectral Image Classification With Noisy Labels 期刊论文 IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: Vol.57 No.7, 页码: 5085-5097 作者: Bing Tu; Xiaofei Zhang; Xudong Kang; Jinping Wang; Jón Atli Benediktsson 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/13 Noise measurement Training Correlation Clustering algorithms Hyperspectral imaging Labeling Density peak (DP) clustering hyperspectral image (HSI) noisy label detection support vector machines (SVMs)
	Density Peak-Based Noisy Label Detection for Hyperspectral Image Classification. 期刊论文 IEEE Transactions on Geoscience & Remote Sensing, 2019, 卷号: Vol.57 No.3, 页码: 1573-1584 作者: Tu, Bing; Zhang, Xiaofei; Kang, Xudong; Zhang, Guoyun; Li, Shutao 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/13 Clustering algorithms Density peak (DP) clustering hyperspectral image (HSI) Hyperspectral imaging Labeling Noise measurement noisy label detection Support vector machines support vector machines (SVMs) Training
	Density Peak-Based Noisy Label Detection for Hyperspectral Image Classification. 期刊论文 IEEE Transactions on Geoscience & Remote Sensing, 2019, 卷号: Vol.57 No.3, 页码: 1573-1584 作者: Tu, Bing; Zhang, Xiaofei; Kang, Xudong; Zhang, Guoyun; Li, Shutao 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/17 Clustering algorithms Density peak (DP) clustering hyperspectral image (HSI) Hyperspectral imaging Labeling Noise measurement noisy label detection Support vector machines support vector machines (SVMs) Training
	Spatial Density Peak Clustering for Hyperspectral Image Classification With Noisy Labels 期刊论文 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: Vol.57 No.7, 页码: 5085-5097 作者: Tu, B; Zhang, XF; Kang, XD; Wang, JP; Benediktsson, JA 收藏 \| 浏览/下载：11/0 \| 提交时间：2019/12/17 Density peak (DP) clustering hyperspectral image (HSI) noisy label detection support vector machines (SVMs)
	Density Peak-Based Noisy Label Detection for Hyperspectral Image Classification 期刊论文 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: Vol.57 No.3, 页码: 1573-1584 作者: Tu, B; Zhang, XF; Kang, XD; Zhang, GY; Li, ST 收藏 \| 浏览/下载：10/0 \| 提交时间：2019/12/17 Density peak (DP) clustering hyperspectral image (HSI) noisy label detection support vector machines (SVMs)
	Deep Hashing Neural Networks for Hyperspectral Image Feature Extraction 期刊论文 IEEE Geoscience and Remote Sensing Letters, 2019, 卷号: Vol.16 No.9, 页码: 1412-1416 作者: Leyuan Fang; Zhiliang Liu; Weiwei Song 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/12/17 Feature extraction Hyperspectral imaging Support vector machines Deep learning Semantics Task analysis Classification deep learning feature extraction hashing hyperspectral images (HSIs)
	Mixture Gases Classification Based on Multi-Label One-Dimensional Deep Convolutional Neural Network 期刊论文 IEEE Access, 2019, 卷号: Vol.7, 页码: 12630-12637 作者: Xiaojin Zhao; Zhihuang Wen; Xiaofang Pan; Wenbin Ye; Amine Bermak 收藏 \| 浏览/下载：9/0 \| 提交时间：2019/12/17 Feature extraction Gases Support vector machines Classification algorithms Pattern recognition Convolution Principal component analysis Mixture gases recognition deep convolutional neural network multi-label classification

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