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检索条件"任意字段=MIPPR 2007: Automatic Target Recognition and Image Analysis;and Multispectral Image Acquisition"
165 条 记 录,以下是111-120 订阅
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multispectral remote sensing image cross simulation based on nonlinear spectral fitting model
Multispectral remote sensing image cross simulation based on...
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7th Symposium on multispectral image Processing and Pattern recognition (mippr) - multispectral image acquisition, Processing, and analysis
作者: Shen, Jinxiang Yang, Liao Chen, Xi Li, Junli Chinese Acad Sci Xinjiang Ecol & Geog Inst Urumqi 830011 Xinjiang Peoples R China
The remote sensing image recorded the ground object spectral responses with a special spectral, temporal, and spatial resolution. There are some complex relationship may exist between the remote sensing images with di... 详细信息
来源: 评论
Fast matching method between infrared image and optical image
Fast matching method between infrared image and optical imag...
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5th International Symposium on multispectral image Processing and Pattern recognition
作者: Liu, Jing Sun, Jiyin Zhu, Junlin Luo, Xiaochun Xian Res Inst Xian 710025 Shanxi Peoples R China
In this paper, we present a high performance, coarse-to-fine scheme for image matching of infrared image and optical image. In order to eliminate the gray level difference and tolerance to distortion and noise existin... 详细信息
来源: 评论
Object region extraction based on graph cut and application in image retrieval
Object region extraction based on graph cut and application ...
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5th International Symposium on multispectral image Processing and Pattern recognition
作者: Guo, Li Wang, Lingjun Sun, Xinghua Yang, Jingyu Nanjing Univ Sci & Technol Sch Comp Nanjing 210094 Peoples R China
This paper introduces the technique of graph cut into the extraction of object region and applies the corresponding result of object region extraction into the image retrieval based on object region. The main idea of ... 详细信息
来源: 评论
Facet-based adaptive anisotropic diffusion for image selective smoothing
Facet-based adaptive anisotropic diffusion for image selecti...
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5th International Symposium on multispectral image Processing and Pattern recognition
作者: Wang, Guodong Sang, Nong Yan, Luxin Shen, Xubang Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence State Key Lab Multi Spectral Informat Proc Techno Wuhan 430074 Peoples R China
In each step of anisotropic diffusion smoothing, noises must be managed to get better results. The mostly used method is Gaussian filtering. However, the standard deviation of the Gaussian filter can't be accurate... 详细信息
来源: 评论
SAR image edge detection combining radon transform with RDWT
SAR Image edge detection combining radon transform with RDWT
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5th International Symposium on multispectral image Processing and Pattern recognition
作者: Yang, Xinyan Jiao, Licheng Wang, Jiajun Soochow Univ Sch Elect & Informat Engn Suzhou 215021 Peoples R China Xidian Univ Inst Intelligent Informat Proc Xian 710071 Peoples R China
The Synthetic Aperture Radar (SAR) is a promising sensor to obtain high-resolution images. But the presence of speckled noise brings many difficulties to SAR image processing, especially in edge detection. The edge de... 详细信息
来源: 评论
Simultaneous acquisition of hyper-spectral image using the computed tomography imaging interferometer - art. no. 67865F
Simultaneous acquisition of hyper-spectral image using the c...
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5th International Symposium on multispectral image Processing and Pattern recognition
作者: Lin, Yu Liao, Ningfang Wang, Xinquan Cui, Deqi Liang, Minyong Luo, Yongdao Beijing Inst Technol Dept Opt Engn Beijing 100081 Peoples R China
In this paper, we introduce a new approach of simultaneous acquisition of hyper-spectral image by means of using Computed Tomography Imaging Interferometer. Detecting rapidly varying targets both spatially and spectra... 详细信息
来源: 评论
Research on benthic scene recognition using multi-scale self-similarity model and statistical analysis of increments
Research on benthic scene recognition using multi-scale self...
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5th International Symposium on multispectral image Processing and Pattern recognition
作者: Yang Guoliang Peng Fuyuan Li Xutao Zhao Kun Chen Jingdong Huazhong Univ Sci & Technol Dept Elect & Informat Engn Wuhan 430074 Peoples R China South China Univ Technol Sch Elect & Informat Engn Guangzhou 510640 Peoples R China
In this paper, we analyzed the increment distribution and the self-similarity behavior of texture images of three kinds of particular underwater objects during the mineral hunting process. The experimental data has sh... 详细信息
来源: 评论
A structured sub-pixel target detection method base on manifold learning method
A structured sub-pixel target detection method base on manif...
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7th Symposium on multispectral image Processing and Pattern recognition (mippr) - multispectral image acquisition, Processing, and analysis
作者: Du, Bo Zhang, Dengyi Li, Pingxiang Chen, Tao Wu, Ke Wuhan Univ Sch Comp Wuhan 430072 Peoples R China Wuhan Univ LIESMARS Wuhan 430072 Peoples R China China Univ Geosci Inst Geophys & Geomat Wuhan 430072 Peoples R China
The manifold learning theory is firstly used to transform the hyperspectral images into a low-dimension feature spaces. The reconstruction error is computed to get discriminative information. Then a structured matched... 详细信息
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Template coarse matching of SAR and optical images based on wavelet subbands and Hausdorff distance - art. no. 67862X
Template coarse matching of SAR and optical images based on ...
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5th International Symposium on multispectral image Processing and Pattern recognition
作者: Mao, Xia Huang, Kang Liang, Yaoming Beihang Univ Sch Elect & Informat Engn Beijing 100083 Peoples R China
This paper presents a suited approach to deal with the template coarse matching of synthetic aperture radar (SAR) and optical images based on wavelet subbands and Hausdorff distance. Firstly, we analyze the discrepanc... 详细信息
来源: 评论
Scene understanding with tri-training
Scene understanding with tri-training
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5th International Symposium on multispectral image Processing and Pattern recognition
作者: Zhu, Lin Zhou, Jie Song, Jingyan Tsinghua Univ Automat Dept Beijing 100084 Peoples R China
Scene understanding needs not only detecting objects in the scene, but also obtaining the relationship between the objects and the scene, for example the reasonable size and occurrence possibility of objects at one po... 详细信息
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