Description: 图像分割源程序
通过融合处理，％ image segmentation based on multispectral image fusion
％ and morphology reconstruction watershed
％ main program
-image segmentation source through fusion, % image segmentation based on multispectral im age fusion% and morphology reconstruction wat ershed% main program Platform: |
Size: 1255 |
Author:li mingxi |
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Description: 图像分割源程序
通过融合处理，％ image segmentation based on multispectral image fusion
％ and morphology reconstruction watershed
％ main program
-image segmentation source through fusion, % image segmentation based on multispectral im age fusion% and morphology reconstruction wat ershed% main program Platform: |
Size: 1024 |
Author:li mingxi |
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Description: 些成熟的瓜果果实在单一的光谱图像中，果与叶的灰度值只存在微小差异，常用的图像分割方法不足以把果与叶区分开，为此，提出一种基于多光谱图像融合的形态学重构分割方法。-More mature fruits and fruit in a single spectral image, the fruit and leaves only a minor difference in gray scale, commonly used image segmentation approach is not sufficient to separate the fruit and leaf area, this paper, a multispectral image fusion morphological reconstruction segmentation. Platform: |
Size: 495616 |
Author:xiliao |
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Description: The PANSHARP algorithm applies an
automatic image fusion that increases the
resolution of multispectral (color) image
data by using a high-resolution Platform: |
Size: 130048 |
Author:saam |
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Description: 功能：将多光谱图像和全色图像融合，得到更丰富的细节信息。
全色光学图像空间细节的表现能力好，DCT变换后其主要特征集中在高频区域，而多光谱图像光谱成分丰富细腻，其主要特征集中于低频区域，因此对全色光学图像和多光谱图像分别进行DCT变换，通过适当的选择全色光学图像的高频部分和光谱图像的低频部分进行融合，进行逆DCT变换，就得到象素域的融合图像，为了增强融合效果，突出局部区域特征，采用对图像分块的原则。
-Function: the multi-spectral image and panchromatic image fusion, to be more extensive details. Panchromatic image spatial detail of the optical performance were good, DCT transform its main features focus on high-frequency region, while the spectral composition of multi-spectral images rich and delicate, its main features focusing on low-frequency region, so the full-color images and multispectral optical images DCT transform, respectively, by appropriate choice of full-color optical image of the high frequency part and low-frequency part of the spectral image fusion, the inverse DCT transform, we obtain the fused image pixel domain, in order to enhance the integration of results, highlighting the local area characteristics, using the principle of the image block. Platform: |
Size: 608256 |
Author:daiweiming |
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Description: fusiopn of panchromatic and multispectral image using fusion techniques to enhance the resolution of image . Platform: |
Size: 26624 |
Author:saranya |
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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:
Description: 图像融合的IHS变换法将原始多光谱图像从RGB空间变换到IHS空间，然后用高分辨率图像或用不同投影方式得到的待融合图像替代I分量-Image fusion IHS transform the original multispectral image is converted RGB space to the IHS space, then I replace the fused image component with a high resolution image or a different way to get to be projected Platform: |
Size: 15360 |
Author:陈扬 |
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Description: A fast and effective image fusion method is proposed
for creating a highly informative fused image through merging
multiple images. The proposed method is based on a two-scale
decomposition of an image into a base layer containing large
scale variations in intensity(and a detail layer capturing small scale details. A novel guided filtering-based weighted average technique is proposed to make full use of spatial consistency
for fusion of the base and detail layers. Experimental results
demonstrate that the proposed method can obtain state-of-the-art
performance for fusion of multispectral, multifocus, multimodal,
and multiexposure images.) Platform: |
Size: 9565184 |
Author:133549 |
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Search - multispectral image fusion