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1. 发明申请

US20130129207A1 Method for Pan-Sharpening Panchromatic and Multispectral Images Using Dictionaries 有权
标题翻译：使用字典泛化全色和多光谱图像的方法
公开(公告)号：US20130129207A1
公开(公告)日：2013-05-23
申请号：US13299847
申请日：2011-11-18
申请人： Dehong Liu , Petros T. Boufounos
发明人： Dehong Liu , Petros T. Boufounos
IPC分类号： G06K9/46
CPC分类号： G06T5/50 , G06K9/6298 , G06T5/003 , G06T2207/10036 , G06T2207/10041 , G06T2207/20081 , G06T2207/20221
摘要： A single panchromatic (Pan) image and a single multispectral (MS) image are Pan-sharpened by extracting features from the Pan image and the MS image. The features are decomposed into features without missing values and features with missing values. A dictionary is learned from the features without missing values. The values for the features with the missing values are learned using the dictionary. The MS image is merged with the Pan image including the predicted values into a merged image, and the merged image is then Pan sharpened.
摘要翻译：通过从Pan图像和MS图像中提取特征，对单个全色（Pan）图像和单个多光谱（MS）图像进行泛锐化。这些特征被分解为特征，而不缺少值和缺少值的特征。从功能中学习字典而不丢失值。使用字典学习具有缺失值的要素的值。将MS图像与包括预测值的Pan图像合并成合并的图像，然后将合并的图像进行平移锐化。

2. 发明申请

US20130129201A1 Method for Pan-Sharpening Panchromatic and Multispectral Images Using Wavelet Dictionaries 有权
标题翻译：使用小波字典泛化全色和多光谱图像的方法
公开(公告)号：US20130129201A1
公开(公告)日：2013-05-23
申请号：US13478510
申请日：2012-05-23
申请人： Dehong Liu , Petros T. Boufounos
发明人： Dehong Liu , Petros T. Boufounos
IPC分类号： G06K9/62
CPC分类号： G06K9/6219 , G06T5/003 , G06T5/50 , G06T2207/10036 , G06T2207/10041
摘要： A method Pan-sharpens a single panchromatic (Pan) image and a single multispectral (MS) image. A wavelet transform is applied to the Pan image and the MS image to obtain a wavelet transformed Pan image and a wavelet transformed MS image. Features, in the form of vectors, are extracted from the wavelet transformed Pan image and the wavelet transformed MS image. The features are separated into features without missing values and features with missing values. A dictionary is learned from features without missing values and used to predict the values for the features with the missing values. After the predicting, the features of the low frequency wavelet coefficients and the high frequency coefficients to form a fused wavelet coefficient map, and an inverse wavelet transform is applied to the fused wavelet coefficient map to obtain a fused MS image.
摘要翻译：一种方法Pan-Sharpens单个全色（Pan）图像和单个多光谱（MS）图像。将小波变换应用于Pan图像和MS图像，以获得小波变换的Pan图像和小波变换的MS图像。从小波变换的Pan图像和小波变换的MS图像中提取以向量的形式的特征。功能分为特征，而不缺少值和缺失值的特征。从没有缺失值的特征中学习字典，并用于预测具有缺失值的要素的值。在预测之后，将低频小波系数和高频系数的特征形成融合小波系数图，并将小波变换应用于融合小波系数图，以获得融合的MS图像。

3. 发明申请

US20110175770A1 High Resolution SAR Imaging Using Non-Uniform Pulse Timing 有权
标题翻译：使用非均匀脉冲时序的高分辨率SAR成像
公开(公告)号：US20110175770A1
公开(公告)日：2011-07-21
申请号：US13077597
申请日：2011-03-31
申请人： Petros Boufounos , Dehong Liu
发明人： Petros Boufounos , Dehong Liu
IPC分类号： G01S13/90
CPC分类号： G06K9/0063 , G01S13/9035
摘要： A synthetic aperture radar (SAR) system includes a non-uniform pulse generator, and an echo receiver. A SAR image is reconstructed from samples of received echoes, wherein transmitted pulses and reflected echoes overlap in time.
摘要翻译：合成孔径雷达（SAR）系统包括一个不均匀的脉冲发生器和一个回波接收器。从接收回波的样本重构SAR图像，其中发射脉冲和反射回波在时间上重叠。

4. 发明授权

US08699790B2 Method for pan-sharpening panchromatic and multispectral images using wavelet dictionaries 有权
标题翻译：使用小波字典泛化全色和多光谱图像的方法
公开(公告)号：US08699790B2
公开(公告)日：2014-04-15
申请号：US13478510
申请日：2012-05-23
申请人： Dehong Liu , Petros T. Boufounos
发明人： Dehong Liu , Petros T. Boufounos
IPC分类号： G06K9/00
CPC分类号： G06K9/6219 , G06T5/003 , G06T5/50 , G06T2207/10036 , G06T2207/10041
摘要： A method Pan-sharpens a single panchromatic (Pan) image and a single multispectral (MS) image. A wavelet transform is applied to the Pan image and the MS image to obtain a wavelet transformed Pan image and a wavelet transformed MS image. Features, in the form of vectors, are extracted from the wavelet transformed Pan image and the wavelet transformed MS image. The features are separated into features without missing values and features with missing values. A dictionary is learned from features without missing values and used to predict the values for the features with the missing values. After the predicting, the features of the low frequency wavelet coefficients and the high frequency coefficients to form a fused wavelet coefficient map, and an inverse wavelet transform is applied to the fused wavelet coefficient map to obtain a fused MS image.
摘要翻译：一种方法Pan-sharpens单个全色（Pan）图像和单个多光谱（MS）图像。将小波变换应用于平移图像和MS图像，以获得小波变换的Pan图像和小波变换的MS图像。从小波变换的Pan图像和小波变换的MS图像中提取以向量的形式的特征。功能分为特征，而不缺少值和缺失值的特征。从没有缺失值的特征中学习字典，并用于预测具有缺失值的要素的值。在预测之后，将低频小波系数和高频系数的特征形成融合小波系数图，并将小波变换应用于融合小波系数图，以获得融合的MS图像。

5. 发明授权

US08487808B2 High resolution SAR imaging using non-uniform pulse timing 有权
标题翻译：使用非均匀脉冲定时的高分辨率SAR成像
公开(公告)号：US08487808B2
公开(公告)日：2013-07-16
申请号：US13077597
申请日：2011-03-31
申请人： Petros Boufounos , Dehong Liu
发明人： Petros Boufounos , Dehong Liu
IPC分类号： G01S13/00
CPC分类号： G06K9/0063 , G01S13/9035
摘要： A synthetic aperture radar (SAR) system includes a non-uniform pulse generator, and an echo receiver. A SAR image is reconstructed from samples of received echoes, wherein transmitted pulses and reflected echoes overlap in time.
摘要翻译：合成孔径雷达（SAR）系统包括一个不均匀的脉冲发生器和一个回波接收器。从接收回波的样本重构SAR图像，其中发射脉冲和反射回波在时间上重叠。

6. 发明授权

US08693771B2 Method for pan-sharpening panchromatic and multispectral images using dictionaries 有权
标题翻译：使用字典泛化全色和多光谱图像的方法
公开(公告)号：US08693771B2
公开(公告)日：2014-04-08
申请号：US13299847
申请日：2011-11-18
申请人： Dehong Liu , Petros T Boufounos
发明人： Dehong Liu , Petros T Boufounos
IPC分类号： G06K9/00
CPC分类号： G06T5/50 , G06K9/6298 , G06T5/003 , G06T2207/10036 , G06T2207/10041 , G06T2207/20081 , G06T2207/20221
摘要： A single panchromatic (Pan) image and a single multispectral (MS) image are Pan-sharpened by extracting features from the Pan image and the MS image. The features are decomposed into features without missing values and features with missing values. A dictionary is learned from the features without missing values. The values for the features with the missing values are learned using the dictionary. The MS image is merged with the Pan image including the predicted values into a merged image, and the merged image is then Pan sharpened.
摘要翻译：通过从Pan图像和MS图像中提取特征，对单个全色（Pan）图像和单个多光谱（MS）图像进行泛锐化。这些特征被分解为特征，而不缺少值和缺少值的特征。从功能中学习字典而不丢失值。使用字典学习具有缺失值的要素的值。将MS图像与包括预测值的Pan图像合并成合并的图像，然后将合并的图像进行平移锐化。

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