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检索条件"任意字段=5th International Symposium on Multispectral Image Processing and Pattern Recognition"

共 1594 条记录，以下是141-150 订阅

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Comparison of data fusion methods with high preservation based on multi-spectral and panchromatic images

Comparison of data fusion methods with high preservation bas...

引用

5th international symposium on multispectral image processing and pattern recognition

作者： Li, Wenbo Zhang, Qiuwen Hu, Guangyi Huazhong Univ Sci & Technol Hubei Key Lab Digital Watershed Sci & Technol Wuhan 430074 Peoples R China

ISBN: (纸本)9780819469519

the original principle of image fusion based on pixel level is using the spatial and spectral information from different remotely sensed data to generate a new image. So, the fusion method with high preservation is the main issue. In this paper, modified Brovey transform (MBT) has been proposed based on the principle of the Brovey transform model. three fusion methods of MBT, wavelet transform (WT) and smoothing filter-based intensity modulation (SFIM), which can merge each band images directly, are applied to respectively merge multi-spectral data with panchromatic image of ETM+ and QB sensors. the qualitative evaluation and quantitative computation analysis show that MBT has the highest high frequency information preservation and SFIM model enjoys the best low frequency information preservation, and both of them can be used to deal with large numbers of images fusion for their fast computation capability. the WT has a suboptimal spectral maintenance and the lowest high spatial frequency gain among the mentioned three data fusion algorithms, and it takes more time to finish the progress of data fusion.

关键词： data fusion information preservation MBT SFIM WT ETM QB multi-spectral image panchromatic

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multispectral image Filtering Method Based on image Fusion 9

Multispectral Image Filtering Method Based on Image Fusion

引用

9th international symposium on multispectral image processing and pattern recognition (MIPPR) - multispectral image Acquisition, processing, and Analysis

作者： Zhang, Wei Chen, Wei Beihua Univ Dept Comp Sci & Technol Pa 132021 Jilin Peoples R China

ISBN: (纸本)9781510600522

this paper proposed a novel filter scheme by image fusion based on Nonsubsampled ContourletTransform(NSCT) for multispectral image. Firstly, an adaptive median filter is proposed which shows great advantage in speed and weak edge preserving. Secondly, the algorithm put bilateral filter and adaptive median filter on image respectively and gets two de-noised images. then perform NSCT multi-scale decomposition on the de-noised images and get detail sub-band and approximate sub-band. thirdly, the detail sub-band and approximate sub-band are fused respectively. Finally, the object image is obtained by inverse NSCT. Simulation results show that the method has strong adaptability to deal with the textural images. And it can suppress noise effectively and preserve the image details. this algorithm has better filter performance than the Bilateral filter standard and median filter and theirs improved algorithms for different noise ratio.

关键词： multispectral image Bilateral filter Adaptive median filter NSCT image fusion

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ATM - Awesome Translation Machine

ATM - Awesome Translation Machine

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5th international Conference on Digital Home (ICDH)

作者： Wang, Hongfei China Ship Dev & Design Ctr Wuhan 430064 Hubei Peoples R China

ISBN: (纸本)9781479942848

In this paper, we present the ATM (Awesome Translation Machine), which translates handwriting texts in English into Chinese, and then provides its pronunciations in both the two languages. Specifically, two types of the databases that contain characters and sentences for training the ATM are constructed. Various signal processing techniques are employed sequentially for processing and analyzing the image raw data. After all the preparation stages, we apply multiple pattern recognition techniques, i.e., principle component analysis, linear discriminant analysis, and support vector machines, for the purpose of character recognition. the identified characters are thereby automatically linked to their actual meanings stored. Extensive experiments are conducted to gauge the performance for different techniques.

关键词： image capture image processing Character recognition pattern recognition methods

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Coherent simulation of high resolution SAR natural terrain scene image - art. no. 678723

Coherent simulation of high resolution SAR natural terrain s...

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5th international symposium on multispectral image processing and pattern recognition

作者： Wang, Qian Zhang, Hong Wang, Chao Tang, YiXian CAS China Remote Sensing Satellite Ground Stn Beijing 100086 Peoples R China

ISBN: (纸本)9780819469519

In this paper we propose an approach to coherent high resolution image simulation of synthetic aperture radar (SAR) that observes natural terrain scenes. the present approach preserves the relative phase information of each individual scatter when it calculates the backscattering from terrain scene objects that composed of some elementary scatters whose scattering model are well investigated. We adopt the Bin Sort algorithm to simulate SAR imaging process;it combines the extinction, attenuation and shadowing effects of all scatters as well as multiple scattering effects of some strong scatters such as tree trunks and main branches. the fractal concept and Lindenmayor system are employed to model the realistic tree structure while other natural objects are constructed based on the ground truth data. As an example, a coherent SAR image for a computer-generated scene that includes trees, grassland, rough land and water area were simulated.

关键词： natural terrain scene coherent SAR image simulation Lindenmayor Systems (L-systems) Bin Sort Algorithm

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Automatic image registration based on convexity model and full-scale image segmentation

Automatic image registration based on convexity model and fu...

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5th international symposium on multispectral image processing and pattern recognition

作者： Sun, Kaimin Sui, Haigang Yan Chen Wuhan Univ Sch Remote Sensing Informat Engn 129 Luoyu Rd Wuhan 430079 Peoples R China Wuhan Univ Natl Lab Informat Engn Surveying Mapping & Remote Wuhan 430079 Peoples R China

ISBN: (纸本)9780819469502

image registration plays a critically important role in many practical problems in diverse fields. A new object-oriented image matching algorithm is presented based on the convexity model (CM) and full-scale image segmentation. the core idea of this matching algorithm is to use image objects as matching unit rather than points or lines. this algorithm firstly converts images into image objects trees by full-scale segmentation and convexity model restriction. Because image objects which accord with the convexity model have rich and reliable statistical information and stable shapes, more characteristics can be used in object-based image matching than pixel-based image matching. Initial experiments show that matching algorithm proposed in this paper is not sensitive to rotation and resolution distortion, which can accomplish the image matching and registration automatically.

关键词： convexity model full-scale image segmentation image registration criterion of similarity change detection

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Infrared image pre-processing based on nonsubsampled contourlet transform

Infrared image pre-processing based on nonsubsampled contour...

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5th international symposium on multispectral image processing and pattern recognition

作者： Li, Junshan Zhang, Xiongmei Li, Kun Li, Xuhui Inst High Tech Hongqing Town Xian 710025 Peoples R China Xidian Univ Inst Intelligent Informat Proc Xian 710025 Peoples R China

ISBN: (纸本)9780819469519

Based on the nonsubsampled contourlet transform (NSCT) and two denoising models (i.e., fractional power model and cross-scale correlation model), an efficient pre-processing algorithm for infrared image is proposed. In our algorithm, the NSCT is used to decompose the image at different scale and orientation, and then implement pre-processing in the frequency domain. at last reconstruct coefficients to obtain ideal infrared image. the key of the proposed algorithm is pre-processing which includes noise removal and information enhancement. To reduce the two kinds of noises (i.e., Gaussian noise and shot noise) efficiently., the two models referred are applied to the NSCT coefficients respectively. the filtered results are fused to learn from the strong points of each denoising methods to offset the weakness of each other. Later. the denoised coefficients are classified to edges and noise and modified by a nonlinear mapping function. Experiments carried on infrared images show that the new algorithm can reduce the Gaussian noise and shot noise efficiently, while keeping the detail information well. Both in the objective performance index and subjective viewing assessment, the new algorithm is superior to the DWT-based method as well as the traditional method.

关键词： IR nonsubsampled contourlet transform (NSCT) fractional power model image denoising image enhancement Gaussian noise shot noise

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Hologram Production and Representation for Corrected image 9

Hologram Production and Representation for Corrected Image

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9th international symposium on multispectral image processing and pattern recognition (MIPPR) - multispectral image Acquisition, processing, and Analysis

作者： Jiao, Gui Chao Zhang, Rui Su, Xue Mei Jilin Univ Phys Coll Key Lab Coherent Light Atom & Mol Spect Minist Educ Changchun 130012 Peoples R China

ISBN: (纸本)9781510600522

In this paper, a CCD sensor device is used to record the distorted homemade grid images which are taken by a wide angle camera. the distorted images are corrected by using methods of position calibration and correction of gray with vc++6.0 and opencv software. Holography graphes for the corrected pictures are produced. the clearly reproduced images are obtained where Fresnel algorithm is used in graph processing by reducing the object and reference light from Fresnel diffraction to delete zero-order part of the reproduced images. the investigation is useful in optical information processing and image encryption transmission.

关键词： Digital holography Distortion Correction Fresnel diffraction integral

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Ship detection in low-resolution SAR images based on background suppression

Ship detection in low-resolution SAR images based on backgro...

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5th international symposium on multispectral image processing and pattern recognition

作者： Yang Weidong Zhang Tianxu Liu Yunsheng Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence State Key Lab Multispectral Informat Proc Technol Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Dept Comp Sci & Technol Wuhan 430074 Peoples R China

ISBN: (纸本)9780819469502

Owing to the capabilities of time and weather independent imaging, Synthetic Aperture Radar (SAR) is one of the most promising remote sensors for ship detection in the field of ocean surveillance. Low-resolution SAR imaging sensor provides wide area coverage, which is useful for monitoring large expanses of coastal waters for the presence of ships. In low-resolution SAR images, the ship detection belongs to small target detection problem in speckle noise image. the background suppression method against the typical features of generic non-homogeneous sea clutter and the strong background noise should be a crucial step in the object detection. A background inhibition network model is firstly built on the theory about the lateral inhibition of biological visions. Secondly, a novel region of interest (ROI) extraction method based on the Renyi's entropy is proposed. Finally, a homogeneity-testing method to reduce the false ship target of ROI is suggested, which was by the means of statistical distribution function of intensity variance-mean ratio (VMR) in homogeneity. the experimental results demonstrated that the lateral inhibition method can not only suppress the background and clutters well, but also can enhance the ship target perfectly. the proposed algorithm has good performance in adapt to various sea-condition and observing angle.

关键词： SAR false alarm lateral inhibition ROI(region of interest) ship detection Renyi's entropy

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Urban remote image fusion using multi-characteristics rule

Urban remote image fusion using multi-characteristics rule

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MIPPR 2009 - multispectral image Acquisition and processing: 6th international symposium on multispectral image processing and pattern recognition

作者： Yang, Xu-Hong Liu, Gang Huang, Fu-Zhen School of Electric and Automatic Engineering Shanghai University of Electric Power Shanghai 200090 China

For the fusion of urban multi-spectral images, three extracted characteristics are merged by a multi-characteristics fusion rule. the fusion result performs well in both spectral information and spatial information. &... 详细信息

ISBN: (纸本)9780819478054

关键词： image fusion

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Application of SAR image heterogeneity measure in speckle reducing

Application of SAR image heterogeneity measure in speckle re...

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MIPPR 2009 - multispectral image Acquisition and processing: 6th international symposium on multispectral image processing and pattern recognition

作者： Chen, Shaobo Liu, Jianguo Wang, Guoyou Li, Qiaoliang Intelligence Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478054

the coefficient of variation (CV)[1] and the ratio of arithmetic to geometric mean( A/G )[2] are two methods of heterogeneity measurement for SAR image, they are widely used in SAR image processing. Lopes pointed out that the behavior of the traditional adaptive filter (Lee[3], Frost[4], etc) using for speckle was under the control of the coefficient of variation in essence, and Lopes also deduced the enhanced adaptive filter algorithm. the filter algorithm for speckle based on the A/G is immature. In this paper, A/G is used to replace the coefficient of variation and applied into the enhanced adaptive filters. the novel class of adaptive filters, which are based on A/G and are designed for speckle, are proposed. through simulation, we verify the effectiveness and superiority of the novel class filters. © 2009 Copyright SPIE - the international Society for Optical Engineering.

关键词： Synthetic aperture radar

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