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نمایش تعداد 1-9 از 9

Hyperspectral Image Denoising With a Spatial–Spectral View Fusion Strategy

نوع: Journal Paper

نویسنده : Qiangqiang Yuan; Liangpei Zhang; Huanfeng Shen

ناشر: IEEE

سال: 2014

Point-surface fusion of station measurements and satellite observations for mapping PM2.5 distribution in China: Methods and assessment

نوع: Journal Paper

نویسنده : Tongwen Li; Huanfeng Shen; Chao Zeng; Qiangqiang Yuan; Liangpei Zhang

سال: 2017

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Noise Removal From Hyperspectral Image With Joint Spectral–Spatial Distributed Sparse Representation

نوع: Journal Paper

نویسنده : Jie Li; Qiangqiang Yuan; Huanfeng Shen; Liangpei Zhang

سال: 2016

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Hyperspectral Image Super-Resolution by Spectral Mixture Analysis and Spatial–Spectral Group Sparsity

نوع: Journal Paper

نویسنده : Jie Li; Qiangqiang Yuan; Huanfeng Shen; Xiangchao Meng; Liangpei Zhang

سال: 2016

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Dead Pixel Completion of Aqua MODIS Band 6 Using a Robust M-Estimator Multiregression

نوع: Journal Paper

نویسنده : Xinghua Li; Huanfeng Shen; Liangpei Zhang; Hongyan Zhang; Qiangqiang Yuan

ناشر: IEEE

سال: 2014

Hyperspectral Image Restoration Using Low-Rank Matrix Recovery

نوع: Journal Paper

نویسنده : Hongyan Zhang; Wei He; Liangpei Zhang; Huanfeng Shen; Qiangqiang Yuan

ناشر: IEEE

سال: 2014

Spatially adaptive nonlocal total variation for PolSAR despeckling

نوع: Conference Paper

نویسنده : Xiaoshuang Ma; Huanfeng Shen; Qiangqiang Yuan; Liangpei Zhang

ناشر: IEEE

سال: 2014

Remote sensing image super-resolution via regional spatially adaptive total variation model

نوع: Conference Paper

نویسنده : Qiangqiang Yuan; Li Yan; Jiancheng Li; Liangpei Zhang

ناشر: IEEE

سال: 2014

Recovering Quantitative Remote Sensing Products Contaminated by Thick Clouds and Shadows Using Multitemporal Dictionary Learning

نوع: Journal Paper

نویسنده : Xinghua Li; Huanfeng Shen; Liangpei Zhang; Hongyan Zhang; Qiangqiang Yuan; Gang Yang

ناشر: IEEE

سال: 2014

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Hyperspectral Image Denoising With a Spatial–Spectral View Fusion Strategy

Point-surface fusion of station measurements and satellite observations for mapping PM2.5 distribution in China: Methods and assessment

Noise Removal From Hyperspectral Image With Joint Spectral–Spatial Distributed Sparse Representation

Hyperspectral Image Super-Resolution by Spectral Mixture Analysis and Spatial–Spectral Group Sparsity

Dead Pixel Completion of Aqua MODIS Band 6 Using a Robust M-Estimator Multiregression

Hyperspectral Image Restoration Using Low-Rank Matrix Recovery

Spatially adaptive nonlocal total variation for PolSAR despeckling

Remote sensing image super-resolution via regional spatially adaptive total variation model

Recovering Quantitative Remote Sensing Products Contaminated by Thick Clouds and Shadows Using Multitemporal Dictionary Learning

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Hyperspectral Image Denoising With a Spatial&#x2013;Spectral View Fusion Strategy

Point-surface fusion of station measurements and satellite observations for mapping PM2.5 distribution in China: Methods and assessment

Noise Removal From Hyperspectral Image With Joint Spectral–Spatial Distributed Sparse Representation

Hyperspectral Image Super-Resolution by Spectral Mixture Analysis and Spatial–Spectral Group Sparsity

Dead Pixel Completion of Aqua MODIS Band 6 Using a Robust M-Estimator Multiregression

Hyperspectral Image Restoration Using Low-Rank Matrix Recovery

Spatially adaptive nonlocal total variation for PolSAR despeckling

Remote sensing image super-resolution via regional spatially adaptive total variation model

Recovering Quantitative Remote Sensing Products Contaminated by Thick Clouds and Shadows Using Multitemporal Dictionary Learning

Hyperspectral Image Denoising With a Spatial–Spectral View Fusion Strategy