共查询到18条相似文献,搜索用时 125 毫秒
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基于HIS变换和WT变换的遥感影像融合 总被引:2,自引:0,他引:2
遥感影像信息融合是近年来国际遥感领域的研究热点.传统的遥感影像融合主要是HIS变换法、加权平均法、PCA法等.利用小渡变换(WT)技术进行遥感影像融合是近年来的研究热点,但其直接舍弃了全色图像的低频率分量,在结果图像中容易出现分块效应.本文结合HIS变换和小波变换的互补性,提出了一种基于HIS变换和小波变换的遥感影像融合方法.通过实验、直观和定性分析,新方法既可以增强融合影像的空间细节表现能力,同时也很好地保留了多光谱影像的光谱信息. 相似文献
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利用比值变换融合、高通滤波融合、改进IHS融合、小波变换融合和基于主分量变换等图像融合方法对IKONOS多光谱影像和IKONOS全色影像进行融合,结合地理国情普查的地表覆盖类型,对比融合后影像的特点,并分析评价对比结果,为地理国情普查工作选用合适的融合方法生成效果较好、地物清晰的遥感底图,从而为提高解译效率提供参考依据。 相似文献
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传统基于小波变换的影像融合随着分解级数的增加,融合影像与原多光谱影像间的相关性随之降低,融合后影像的小目标对象很难获得丰富的颜色信息。鉴于此,本文提出基于局部能量的Trous小波和IHS变换相结合的融合算法,对IKONOS影像进行融合,并与传统的Trous小波变换融合、Trous小波变换和IHS变换结合的融合算法相比较,结果表明改进的方法能提高融合影像的相关性,降低光谱扭曲度,增强小目标的识别能力。 相似文献
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多源信息融合中小波变换的应用研究 总被引:12,自引:1,他引:12
研究了小波变换在多源信息融合中的应用,主要涉及高分辨率全色影像与低分辨率多光谱影像融合问题及合成孔径雷达与光学影像的融合问题.主要方法是基于地物光谱信息特征的彩色融合与基于几何特征的融合.利用小波技术对整个融合过程加以改进.获得的融合结果表明基于光谱特征信息的融合方法,可以有效地提高多光谱影像的空间分辨率,而基于几何特征的融合方法,可以提高对遥感影像的目视解译效果.视觉效果上就是将高分辨率影像的细节加入到了低分辨率多光谱影像中,并同时保持原始影像的光谱特征. 相似文献
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IHS变换和小波变换相结合的遥感影像融合 总被引:8,自引:0,他引:8
本文针对低分辨率多光谱影像与高分辨率全色影像的融合,提出了一种IHS变换和小波变换相结合的遥感影像融合方法。方法首先对多光谱影像作IHS正变换,得到亮度I、色度H和饱和度S三个分量:然后利用小波变换融合方法,融合多光谱影像的亮度分量与全色影像,并用融合后的影像替代多光谱影像的亮度分量;最后,利用IHS反变换得到新的多光谱影像。试验结果分析表明,新方法的性能优于IHS变换融合方法、小波变换融合方法,在增强融合影像的空间细节表现能力的同时,很好地保留了多光谱影像的光谱信息。 相似文献
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基于分辨率退化模型的全色和多光谱遥感影像融合方法 总被引:7,自引:0,他引:7
从影像成像的频率特性出发,提出了一种影像分辨率退化模型,并在此基础上提出了一种新的全色和多光谱遥感影像融合方法。 相似文献
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《Geoscience and Remote Sensing Letters, IEEE》2008,5(4):653-657
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为了提高多光谱图像和全色图像的融合质量, 提出一种基于推广的IHS(Generalized Intensity-Hue-Saturation,
GIHS)变换与最大后验概率MAP(Maximum a Posteriori)相结合的遥感图像融合算法。该算法首先经过GIHS 变换,
由多光谱图像得到强度分量; 其次针对强度分量和全色图像, 通过MAP 构建高分辨率图像的成像模型, 采用最速下
降优化算法得到富含光谱信息的高分辨率全色图像; 进而依据GIHS 变换得到融合图像。实验中分别以IKONOS 卫
星、Quickbird 卫星的多光谱图像和全色图像为例, 进行融合算法验证, 并与GIHS 融合算法、传统的小波变换融合
算法、小波变换结合IHS 变换的融合算法等进行比较分析, 实验表明, 新的融合方法具有更好的融合效果。 相似文献
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WANGZhijun DjemelZiou CostasArmenakis 《地球空间信息科学学报》2004,7(2):129-134
This paper introduces the image fusion approach of multi-resolution analysis-based intensity modulation (MRAIM) to produce the high-resolution multi-spectral images from high-resolution panchromatic image and low-resolution multi-spectral images for navigation information infrastructure. The mathematical model of image fusion is derived according to the principle of remote sensing image formation. It shows that the pixel values of a high-resolution multi-spectral images are determined by the pixel values of the approximation of a high-resolution panchromatic image at the resolution level of low-resolution multi-spectral images, and in the pixel valae computation the M-band wavelet theory and the d trous algorithm are then used. In order to evaluate the MRAIM approach, an experiment has been carried out on the basis of the IKONOS 1 m panchromatic image and 4 m multi-spectral images. The result demonstrates that MRAIM image fusion approach gives promising fusion results and it can be used to produce the high-resolution remote sensing images required for navigation information infrastructures. 相似文献
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This paper introduces the image fusion approach of multi-resolution analysis-based intensity modulation (MRAIM) to produce the high-resolution multi-spectral images from high-resolution panchromatic image and low-resolution multi-spectral images for navigation information infrastructure. The mathematical model of image fusion is derived according to the principle of remote sensing image formation. It shows that the pixel values of a high-resolution multi-spectral images are determined by the pixel values of the approximation of a high-resolution panchromatic image at the resolution level of low-resolution multi-spectral images, and in the pixel valae computation the M-band wavelet theory and the à trous algorithm are then used. In order to evaluate the MRAIM approach, an experiment has been carried out on the basis of the IKONOS 1 m panchromatic image and 4 m multi-spectral images. The result demonstrates that MRAIM image fusion approach gives promising fusion results and it can be used to produce the high-resolution remote sensing images required for navigation information infrastructures. 相似文献
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Zeynab Ghanbari Mahmod R. Sahebi 《Journal of the Indian Society of Remote Sensing》2014,42(4):689-699
The intensity-hue-saturation method is used frequently in image fusion due to its efficiency and high spatial quality. The main shortage is its spectral distortion stemmed from replacement of intensity band with higher resolution image. In this study, a new method is introduced to improve the spectral quality of the Intensity-Hue-Saturation (IHS) algorithm. The goal of this study is to produce the fused image that has a better spectral and spatial quality with respect to the original images in term of visual comparison and the classification result. In this regard, an improved statistical approach is developed to combine an intensity band from IHS algorithm and an input high resolution image such as SAR or Panchromatic image. Then the intensity image is replaced by the combined image band. Final fused images are attained using the inverse IHS algorithm. The proposed fusion algorithm is tested on two data sets of: a) panchromatic and multi spectral bands of IKONOS image with the same acquisition date, and b) multi spectral and HH bands of IKONOS and TerraSAR-X images respectively with different acquisition dates. Moreover, the obtained results are compared with other fusion methods like IHS, Gungor, Brovey and synthetic variable ratio. The results show less spectral discrepancy of the proposed method comparing to other methods. Finally, the outcome of proposed method is classified and classification overall accuracy is improved by 5.6 and 2 percentage for data set ‘a’ and ‘b’ respectively. 相似文献
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Elahe Khesali Mohammad Javad Valadan Zoej Mehdi Mokhtarzade Maryam Dehghani 《Journal of the Indian Society of Remote Sensing》2016,44(1):21-29
Two new methods for fusion of high-resolution optical and radar satellite images have been proposed to extract roads in high quality in this paper. Two fusion methods, including neural network and knowledge-based fusion are introduced. The first proposed method consists of two stages: (i) separate road detection using each dataset and (ii) fusion of the results obtained using a neural network. In this method, the neural networks are separately applied on high-resolution IKONOS and TerraSAR-X images for road detection, using a variety of texture parameters. The outputs of two neural networks, as well as the spectral features of optical image, are used in a third neural network as inputs. The second method is a knowledge-based fusion using thresholds of narrow roads and vegetation gray levels. First roads are extracted from each source separately. The outputs are then compared and advantages and disadvantages of each data source are investigated . The results obtained from accuracy assessment show the efficiency of the proposed methods. Furthermore, the comparison of the results showed the superiority of the first algorithm. 相似文献
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《地理信息系统科学与遥感》2013,50(5):687-710
This study examines best image fusion approaches for generating pansharpened very high resolution (VHR) multispectral images to be utilized for monitoring coastal barrier island development. Selected fusion techniques assessed in this research come from the three categories of spectral substitution (e.g., Brovey transform and multiplicative merging), arithmetic merging (e.g., modified intensity-hue-saturation and principal component analysis), and spatial domain (e.g., high-pass filter, and subtractive resolution merge). The image fusion methods selected for this study were capable of producing pansharpened VHR images with more than three bands. Comparisons of fusion techniques were applied to images from three satellite sensors: United States commercial satellites IKONOS and QuickBird, and the Korean KOMPSAT II. Pansharpened VHR multispectral images were assessed by spectral and spatial quality measurements. Results satisfying both spectral and spatial quality revealed optimum pansharpened techniques necessary for regular coastal mapping of barrier islands. These techniques may also be used to assess the quality of recently available VHR imagery acquired by numerous international, government, and commercial VHR satellite programs. 相似文献