Description: 包括IHS,PCA Fusio,加权图像融合算法的Matlab源代码！主要运用在GSM中卫星图像处理，里面有例子图片，可以清晰的看见处理效果！-including IHS, PCA Fusio, the weighted image fusion algorithms Matlab source code! The main use of the GSM satellite image processing, there are examples of photographs, can clearly see the effect! Platform: |
Size: 87456 |
Author:纯净水 |
Hits:
Description: 包括IHS,PCA Fusio,加权图像融合算法的Matlab源代码！主要运用在GSM中卫星图像处理，里面有例子图片，可以清晰的看见处理效果！-including IHS, PCA Fusio, the weighted image fusion algorithms Matlab source code! The main use of the GSM satellite image processing, there are examples of photographs, can clearly see the effect! Platform: |
Size: 87040 |
Author:纯净水 |
Hits:
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 |
Hits:
Description: landsat卫星图像和meris图像融合的论文。LANDSAT TM AND MERIS FR IMAGE FUSION FOR LAND COVER MAPPING OVER THE NETHERLANDS。-Landsat satellite imagery and MERIS image fusion papers. LANDSAT TM AND MERIS FR IMAGE FUSION FOR LAND COVER MAPPING OVER THE NETHERLANDS. Platform: |
Size: 254976 |
Author:原木需 |
Hits:
Description: 卫星影像融合程序，内置比值融合、差值融合、HIS融合、PCI融合等融合方法，同时还包含影像融合评价功能-Satellite image fusion procedure, built-in ratio of fusion, the difference between integration, HIS integration, PCI fusion fusion, image fusion also includes the evaluation function Platform: |
Size: 940032 |
Author:Ender |
Hits:
Description: 卫星遥感图像融合（SPOT类型图像与TM类型图像）研究图像融合的可以参考-Satellite remote sensing image fusion (SPOT and TM type type image image) ,which can refer to who research image fusion Platform: |
Size: 1272832 |
Author:章煜 |
Hits:
Description: 提出了一种基于人类视觉系统和模糊隶属度函数的小波卫星图像融合新算法,利用小波域的人类视觉系
统经验模型,刻画图像的边缘、纹理及高亮区域, 采用模糊隶属度函数自适应地计算权系数, 在小波域上通过加权
平均实现了图像融合。-Proposed a new algorithm based on human visual system and the fuzzy membership function of the wavelet satellite image fusion using wavelet domain experience in the human visual system model, depicting the image of the edge, texture, and the highlighted area, the use of fuzzy membership function adaptively calculate the weight coefficients in the wavelet domain by the weighted average realized fusion. Platform: |
Size: 256000 |
Author:张凡 |
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: 1464320 |
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: 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 - satellite image fusion