Description: 这是一篇介绍图像融合算法的论文，采用经典的小波算法和IHS算法结合，在性能上，有很大的提高！-This is an image fusion algorithm Introduction thesis, using the classical wavelet algorithms and IHS algorithm combining the performance, have greatly improved! Platform: |
Size: 734208 |
Author:洪波 |
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Description: 利用小波变换方法进行多卫星遥感图像数据融合，分析不同长度的小波基对融合图像的影响，从信息的保持性、视觉效果及运用灵活性等方面与IHS、PCA 融合算法进行了比较，从而探讨这一新算法在遥感图像分析应用中的可行性。-Using wavelet transform methods of multi-satellite remote sensing image data fusion, analysis of different wavelet bases on the length of the impact of image fusion, from the maintenance of information, visual effects and the use of flexibility with the IHS, PCA fusion algorithm are compared in order to explore the This new algorithm in the application of remote sensing image analysis feasibility. Platform: |
Size: 65536 |
Author:lieutenant |
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Description: 一种新的基于ICA及小波变换的图像融合算法-A new wavelet transform based on the ICA and the image fusion algorithm Platform: |
Size: 151552 |
Author:niuxiaohui |
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Description: 该程序是用于对两幅图像进行融合的代码，其中包含了高通滤波融合、小波融合、主成分分析融合、IHS融合等方法，此外，还包括RGB与IHS图像空间相互的转换。-This procedure is used to fuse the two images of the code, which contains a high-pass filtering fusion, wavelet fusion, principal component analysis fusion, IHS fusion method also includes RGB and IHS image space mutual conversion. Platform: |
Size: 1270784 |
Author:May |
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Description: 一种基于IHS变换和小波变换的多源遥感影像融合新方法 梁苏苏 张鹤鸣 段彩梅 现代测绘 2013-03-25 期刊-based on IHS transform and wavelet transform, a new method of multi-source remote sensing image fusion beam susu Zhang Heming Choi mei modern surveying and mapping the 2013-03-25 jo Platform: |
Size: 503808 |
Author:方方 |
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Description: IHS变换与小波变换相结合的图像融合新方法 朱福珍 李金宗 李冬冬 马冬冬 计算机应用研究 2009-02-15 期刊- ihs transform and combination of wavelet transform, a new method of image fusion Zhu Fuzhen Li Jinzong Li Dongdong The 2009-02-15 journals Ma Dongdong computer application research Platform: |
Size: 290816 |
Author:方方 |
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Description: IHS和小波变换结合多源遥感影像融合质量对小波分解层数的响应_龚建周-ihs and wavelet transformation combined with multi-source remote sensing image fusion quality _ Gong Jianzhou responding to the layer number of wavelet decomposition Platform: |
Size: 476160 |
Author:fangfang |
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Description: 2IHS和小波变换结合多源遥感影像融合质量对小波分解层数的响应.pdf-2 ihs and wavelet transformation combined with multi-source remote sensing image fusion quality response to the layer number of wavelet decomposition. PDF
Platform: |
Size: 396288 |
Author:方方 |
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Description: 基于主成分分析的图像融合、基于IHS变换的遥感图像融合、基于小波变换的图像融合、基于余弦变换的多聚焦图像融合-Image fusion based on principal component analysis, remote sensing image fusion based on IHS transform, image fusion based on wavelet transform, more focus on image fusion based on cosine transform Platform: |
Size: 439296 |
Author:徐一 |
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Description: The fusion of high-spectral/low-spatial resolution
multispectral and low-spectral/high-spatial resolution panchromatic
satellite images is a very useful technique in various
applications of remote sensing. Recently, some studies showed
that a wavelet-based image fusion method provides high quality
spectral content in fused images. However, most wavelet-based
methods yield fused results with spatial resolution that is less
than that obtained via the Brovey, IHS, and PCA fusion methods.
In this paper, we introduce a new method based on a curvelet
transform, which represents edges better than wavelets. Since
edges play a fundamental role in image representation, one
effective means to enhance spatial resolution is to enhance the
edges. The curvelet-based image fusion method provides richer
information in the spatial and spectral domains simultaneously.
We performed Landsat ETM+ image fusion and found that the
proposed method provides optimum fusion results. Platform: |
Size: 1464320 |
Author:shaik |
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Description: The fusion of high-spectral/low-spatial resolution
multispectral and low-spectral/high-spatial resolution panchromatic
satellite images is a very useful technique in various
applications of remote sensing. Recently, some studies showed
that a wavelet-based image fusion method provides high quality
spectral content in fused images. However, most wavelet-based
methods yield fused results with spatial resolution that is less
than that obtained via the Brovey, IHS, and PCA fusion methods.
In this paper, we introduce a new method based on a curvelet
transform, which represents edges better than wavelets. Since
edges play a fundamental role in image representation, one
effective means to enhance spatial resolution is to enhance the
edges. The curvelet-based image fusion method provides richer
information in the spatial and spectral domains simultaneously.
We performed Landsat ETM+ image fusion and found that the
proposed method provides optimum fusion results. Platform: |
Size: 478208 |
Author:shaik |
Hits:
Description: The fusion of high-spectral/low-spatial resolution
multispectral and low-spectral/high-spatial resolution panchromatic
satellite images is a very useful technique in various
applications of remote sensing. Recently, some studies showed
that a wavelet-based image fusion method provides high quality
spectral content in fused images. However, most wavelet-based
methods yield fused results with spatial resolution that is less
than that obtained via the Brovey, IHS, and PCA fusion methods.
In this paper, we introduce a new method based on a curvelet
transform, which represents edges better than wavelets. Since
edges play a fundamental role in image representation, one
effective means to enhance spatial resolution is to enhance the
edges. The curvelet-based image fusion method provides richer
information in the spatial and spectral domains simultaneously.
We performed Landsat ETM+ image fusion and found that the
proposed method provides optimum fusion results. Platform: |
Size: 5374976 |
Author:shaik |
Hits:
Description: The fusion of high-spectral/low-spatial resolution
multispectral and low-spectral/high-spatial resolution panchromatic
satellite images is a very useful technique in various
applications of remote sensing. Recently, some studies showed
that a wavelet-based image fusion method provides high quality
spectral content in fused images. However, most wavelet-based
methods yield fused results with spatial resolution that is less
than that obtained via the Brovey, IHS, and PCA fusion methods.
In this paper, we introduce a new method based on a curvelet
transform, which represents edges better than wavelets. Since
edges play a fundamental role in image representation, one
effective means to enhance spatial resolution is to enhance the
edges. The curvelet-based image fusion method provides richer
information in the spatial and spectral domains simultaneously.
We performed Landsat ETM+ image fusion and found that the
proposed method provides optimum fusion results. Platform: |
Size: 540672 |
Author:shaik |
Hits:
Search - wavelet IHS image fusion