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检索条件"任意字段=MIPPR 2007: Multispectral Image Processing"

共 197 条记录，以下是1-10 订阅

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Proceedings of SPIE: mippr 2007: multispectral image processing

Proceedings of SPIE: MIPPR 2007: Multispectral Image Process...

引用

mippr 2007: multispectral image processing

ISBN: (纸本)9780819469519

The proceedings contain 96 papers. The topics discussed include: self-adaptive evolutionary algorithm for multispectral remote sensing image clustering;road detection in SAR images using a tensor voting algorithm;algorithm research on extracting terrain parameters using data of multi-return signal LiDAR;atmospheric correction algorithm for MODIS data of inland waters by using short-wave infrared bands;new feature extraction algorithm method based on gray multi-channel decomposition;fast processing of imaging spectrometer data cube based on FPGA design;simulation of atmospheric profile retrieval sensitivity with cloud from hyperspectral infrared data;design and implementation of the portable IR targets automatic detecting and tracking system based on USB2.0;and speckle reduction for target extraction in synthetic aperture radar images using adaptive space separation based on independent component analysis.

关键词： image processing

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Proceedings of SPIE - mippr 2007 Automatic Target Recognition and image Analysis;and multispectral image Acquisition

Proceedings of SPIE - MIPPR 2007 Automatic Target Recognitio...

引用

mippr 2007: Automatic Target Recognition and image Analysis;and multispectral image Acquisition

ISBN: (纸本)9780819469502

The proceedings contain 198 papers. The topics discussed include: human recognition at a distance;tracking face poses toward meeting video analysis;framework for feature selection for cost shadow removal;dynamic object recognition and tracking of mobile robot by monocular vision;joint deconvolution of adaptive optics images from slope measurements of wavefront sensor;filtering strategy on offline invariant feature detecting based on information content and distribution constraints;feature-based nonrigid image registration using multi-class Hausdroff fractions;object region extraction based on graph cut and application in image retrieval;improved algorithm for image decomposition based on bidimensional EMD;algorithm for image fusion based on finite ridgelet transform;and point matching of two images under large different resolution.

关键词： image analysis

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Proceedings of SPIE - mippr 2007: Remote Sensing and GIS Data processing and Applications;and Innovative multispectral Technology and Applications

Proceedings of SPIE - MIPPR 2007: Remote Sensing and GIS Dat...

引用

mippr 2007: Remote Sensing and GIS Data processing and Applications;and Innovative multispectral Technology and Applications

ISBN: (纸本)9780819469540

The proceedings contain 200 papers. The topics discussed include: indexing and retrieval in large satellite image databases;combined contextual classification method for large scale land covering based on multi-resolution satellite data;multisensor image fusion using fast discrete curvelet transform;satellite cloud image retrieval based on deformable circle model;hybrid approach for remote sensing image registration;change vector analysis method for inundation change detection using multi-temporal multi-polarized SAR images;analysis on urban expansion and spatial morphology evolution of nanchang based on GIS and RS in the recent three decades;improved method for MODIS cloud detecting;novel radon transform-based method for linear feature detection in open water SAR images;and running architecture of Grid GIS based on the quadruple Geo-spatial grids model.

关键词： Geographic information systems

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New edge detection method for multispectral images

New edge detection method for multispectral images

引用

mippr 2007: multispectral image processing

作者： Sun, Genyun Liu, Qinhuo Zhou, Ye State Key Laboratory of Remote Sensing Science Institute of Remote Sensing Applications CAS Beijing 100101 China

ISBN: (纸本)9780819469519

In this paper, a new method for edge detection in multispectral images is presented. The method is based on the assumption that edges correspond to the boundary that separates two adjacent homogeneous regions, and characterization of edges are conducted by evaluating the difference between the two adjacent neighborhood regions to derive edge intensity and orientation. To demonstrate the efficiency of the proposed approach, we carried out computer experiments on multiple-band images and comparison with other methods. Experiments on a variety of images have shown that it is consistent and reliable tool to detecting edges of multispectral images. The proposed method can detect the edges successfully and can resolve to thick edges.

关键词： image analysis

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SAR image despeckling based on sparse representation

SAR image despeckling based on sparse representation

引用

mippr 2007: multispectral image processing

作者： Zhao, Yang Wang, Shuang Jiao, Licheng Li, Kun Institute of Intelligent Information Processing Xidian University Xi'an 710071

ISBN: (纸本)9780819469519

Based on sparse representation, a new novel SAR image despeckling algorithm (SR) associate with the feature of SAR image is presented. The experimental results show that the proposed algorithm has capabilities of denoising and preserving edge and texture features. Moreover, it outperforms the four traditional denoising methods in speckle smoothing, edge and texture preservation and visual assessment.

关键词： Synthetic aperture radar

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Research on algorithms of change detection

Research on algorithms of change detection

引用

mippr 2007: multispectral image processing

作者： Li, Xiaochun Telecommunication Engineering Institute AFEU Xi'an 710077

ISBN: (纸本)9780819469519

With extensive application of image change detection, the author researches kinds of algorithms of image change detection in detail. Based on analysis of several typical change detection algorithms, an improved algorithm of change detection based on independence component analysis ( ICA ) is proposed;simultaneously, an integrated change detection scheme is presented. Taking remote sensing image with complex background for example, simulation results show that the improved algorithm and proposed scheme have advantage over current algorithm.

关键词： image analysis

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image segmentation using improved watershed transform

Image segmentation using improved watershed transform

引用

mippr 2007: Automatic Target Recognition and image Analysis;and multispectral image Acquisition

作者： Geng, Li Xiaoqian, Chen Digital Video Technology and Communication Institute Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819469502

Watershed transform is a morphological image segmentation method which is widely used in medical image processing, video processing and many other fields. The ultimate goal of the transform is to identify the objects of interest in the input image. However, the main problem of watershed transform is its sensitivity to intensity variations, resulting in over segmentation problem. The main goal of this work is to overcome the drawback of the traditional watershed algorithm. The proposed algorithm in this paper is to retain the most significant regions of the image when the image is under noisy conditions and the objects in the image have detailed textures.

关键词： image segmentation

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Study of identifying airdrome algorithm in the infrared image

Study of identifying airdrome algorithm in the infrared imag...

引用

mippr 2007: multispectral image processing

作者： Qingwei, Ping Guifen, Xia Department of Electronic Engineering Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9780819469519

Because the airdrome is a target on the ground, this kind of target has the complex characteristic. So we must think about all kind of factor to design the algorithm which can meet the practice, when the algorithm of proceeding infrared image is designed. This paper advises the track-before-detect (TBD) algorithm to process infrared image by the practice and modern image procession technology. Our results indicate that this algorithm can distinguish between the real target and the false target under small SNR. SNR is about 1.8.

关键词： Target tracking

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Edge detection operators applications in flame image recognition and processing - art. no. 67864R

Edge detection operators applications in flame image recogni...

引用

5th International Symposium on multispectral image processing and Pattern Recognition

作者： Shao, Ying Huazhong Univ Sci & Technol Wuhan 430070 Peoples R China

Based on region-segmentation method and flame image edge detection operator, flame image pre-processing and edge detection can effectively improve flame image processing efficiency. Relatively effective flame image ed... 详细信息

ISBN: (纸本)9780819469502

关键词： fire detection image processing region-segmentation edge detection operator

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Double regularization approach to iterative blind multispectral image restoration - art. no. 67870L

Double regularization approach to iterative blind multispect...

引用

5th International Symposium on multispectral image processing and Pattern Recognition

作者： Chen, Li Wang, Changjie Wuhan Univ Sci & Technol Sch Comp Sci Wuhan 430065 Peoples R China

ISBN: (纸本)9780819469519

In this paper, we present a new iterative blind multispectral image restoration algorithm based on double regularization (DR). The motivation for DR when applied to multispectral restoration lies in its effectiveness towards edge preservation in joint blur identification and image restoration. With consideration for both the intra- and inter-channel blurring function in the multiple-input multiple-output (MIMO) systems, an alternating minimization (AM) procedure with conjugate gradient optimization (CGO) scheme is formulated to implement restoration iteratively. The derivation of DR optimization shows that optimal restoration result can be achieved even when the MIMO systems suffer from interchannel interference. Experimental results show that it is effective in performing blind mutichannel restoration when applied to color images.

关键词： blind image deconvolution multispectral restoration double regularization multiple-input multiple-output

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