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检索条件"任意字段=MIPPR 2007: Automatic Target Recognition and Image Analysis;and Multispectral Image Acquisition"

共 165 条记录，以下是41-50 订阅

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Novel adaptive multi threshold image segmentation algorithm

Novel adaptive multi threshold image segmentation algorithm

引用

mippr 2007: automatic target recognition and image analysis;and multispectral image acquisition

作者： Hong, Jiang Zhang, Ren School of Automation Science and Electrical Engineering BeiHang University Beijing 100083 China

ISBN: (纸本)9780819469502

A novel adaptive multi threshold image segmentation algorithm is proposed in this paper. This proposed segmentation algorithm has two unique characteristics: it fits the 1-D graylevel histogram of the image by potential base function and thereby adaptively determines the classification number by potential function clustering;based on the graylevel co-occurrence matrix, it acquires the multi segmentation thresholds which makes the shape connectivity maximum according to the shape connectivity criterion. Both theoretical analysis and simulation results indicate that the performance of this new adaptive multi threshold segmentation algorithm is superior to those of the conventional threshold segmentation algorithms. And it has not only a low computing cost, but also shows quite good segmentation effect. Besides, it is insensitive to noises and interferences.

关键词： Adaptive algorithms

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Method of image enhancing based on shape feature of target

Method of image enhancing based on shape feature of target

引用

mippr 2007: automatic target recognition and image analysis;and multispectral image acquisition

作者： Wu, Wei Xiang, Lan Zhou, Zude School of Information Engineering Wuhan University of Technology

ISBN: (纸本)9780819469502

It is difficult to get ideal effect that research on target enhancement and segmentation are developed by simply using features of edge, texture and gray in complex background. Studies on target enhancement and segmentation have always been the research focus for a long time. Considering known regular shape target in complex background, an approach of target enhancement and segment based on shape feature is proposed. According to analyze the shape of regular target such as line and arc, first, Top-hat is used to enhance target. Then, threshold segmentation method, thinning and deburring are following. Third, a new image is acquired by the Hough transform which can find points in edge image similar with target in shape and property. The very points would be reserved. Moreover, the new image acquired is the initial condition of reconstruction, the original image is limit condition, and target enhancement is achieved by grayscale morphological reconstruction. Finally, binaryzation processing of image was used to segment target. Experimental results demonstrate that the proposed algorithm has an encouraging performance.

关键词： image enhancement

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Fast approach to super-resolution image reconstruction

Fast approach to super-resolution image reconstruction

引用

mippr 2007: automatic target recognition and image analysis;and multispectral image acquisition

作者： Zhang, Di Hu, Weiping He, Jiazhong Du, Minghui Department of Computer Science Shaoguan University College of Electronics and Information South China University of Technology

ISBN: (纸本)9780819469502

Super-resolution image reconstruction produces a high-resolution image or high- resolution image sequences from a set of shifted, blurred, and decimated versions thereof, and has been proven to be extremely useful in early vision, video surveillance, and other applications. However, as magnification increases, previously published techniques get worse either in computational complexity or ringing artifacts. In this paper, a fast approach is proposed to reduce both the ringing artifacts and the computational complexity. Experiment results demonstrate that the new approach is more efficient and can provide much better reconstruction quality in comparison with normal super-resolution algorithms.

关键词： image resolution

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FLIR image segmentation based on DA-GMRF model

FLIR image segmentation based on DA-GMRF model

引用

mippr 2007: automatic target recognition and image analysis;and multispectral image acquisition

作者： Qi, Lin Shi, Zelin Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 China Graduate School Chinese Academy of Sciences Beijing 100039 China

ISBN: (纸本)9780819469502

In order to conquer the drawback of over-smoothness in the MRF model, a kind of discontinuity-adaptive Gaussian Markov random field (DA-GMRF) model is defined, in which the edge information of image is used to construct corresponding energy functions. After this a FLIR image segmentation method based on DA-GMRF model is proposed, which includes initialization and optimization of the label field. A multi-threshold image segmentation algorithm based on potential function of gray histogram is presented to initialize the label field. This algorithm can determine region number and multi-thresholds automatically. Metroplis Sampler algorithm is adopted to optimize the label field. Segmentation experiments on several images show that the algorithm proposed is effective.

关键词： image segmentation

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Error analysis on laser measurement device of airborne LIDAR

Error analysis on laser measurement device of airborne LIDAR

引用

mippr 2007: automatic target recognition and image analysis;and multispectral image acquisition

作者： Jianwei, Wu Hongchao, Ma Qi, Li Zongyue, Wang Xin, Yu School of Remote Sensing Information Engineering Wuhan University 129 Luoyu Road Wuhan 430079 China

ISBN: (纸本)9780819469502

The error sources of airborne laser measurement device which mainly include laser beam misalignment with respect to scanning mirror, clock error, scanner error and scanner torsion are discussed, and their effects to airborne LIDAR (Light Detection and Ranging) position accuracy are analyzed. Specially, laser beam misalignment's influences to LIDAR scanning line distortion and positioning accuracy are analyzed in detail quantitatively and qualitatively for oscillating scanner. The analysis demonstrates that laser beam misalignment influences the scanning line distortion and positioning accuracy more and more with the increasing height and scanning angle and can't be eliminated by common calibration methods but by the calibration method in factory for it is related to other error sources.

关键词： Optical radar

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automatic bridges recognition in medium resolution SAR images based on multi-scale feature analysis

Automatic bridges recognition in medium resolution SAR image...

引用

5th International Symposium on multispectral image Processing and Pattern recognition

作者： Yin, Dong Zhang, Feng Chen, Xin Cheng, Bin Univ Sci & Technol China Dept Elect Eng & Informat Sci Anhui 230027 Peoples R China

ISBN: (纸本)9780819469502

This paper handles with the problem of bridge recognition in Synthetic Aperture Radar (SAR) images. Based on features analysis of bridges, rivers and land in different spatial resolution SAR images, a method of multi-scale analysis is proposed. Firstly, for preventing noise, filtering the original medium resolution image is performed. And the image will be down-sampled to ten times. Secondly, rivers will be extracted automatically by dynamic programming in low resolution level and the bridge candidates' position will be obtained by apices locating. Finally, the mapped image will be cut out to become regions of interest (ROI). And the bridge target regions will be detected by using constant false alarm rate (CFAR). The example results indicate that the processing speed for bridge recognition can be greatly improved and the precision of recognition can also be ensured.

关键词： SAR images bridge recognition multi-scale feature analysis dynamic programming constant false alarm rate (CFAR)

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Difference-templates based target tracking method

Difference-templates based target tracking method

引用

mippr 2007: automatic target recognition and image analysis;and multispectral image acquisition

作者： Luo, Haibo Shi, Zelin Li, Deqiang Yan, Zhande Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 China Graduate School Chinese Academy of Sciences Beijing 100039 China

ISBN: (纸本)9780819469502

This paper proposes a difference-templates based target tracking method (DTBTTM) with the originality of constructing a collection of difference templates that represent the varying characteristics of target region, such as translation, scale, and illumination. DTBTTM method uses the linear combination of such difference templates to represent the variation of target region, and computes coefficients with respect to the corresponding templates. The final target position and window size can be determined with these coefficients. DTBTTM method simply solves linear equations, and is quite different from correlation method in which 2-dimensional search is required to calculate similarity between pre-defined template and the region of interest. Experimental results show that the DTBTTM is highly adaptable to the variation of target region, and is robust to the variation of translation, scale, illumination, and even occlusion.

关键词： target tracking

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New change detection tracking method based on background model

New change detection tracking method based on background mod...

引用

5th International Symposium on multispectral image Processing and Pattern recognition

作者： Hu, Ruolan Zhou, Xiao Zhang, Tao Zhang, Guilin Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence State Key Lab Multispectral Informat Processing T Wuhan 430074 Peoples R China

ISBN: (纸本)9780819469502

Background constructing and updating are the two key problems for the background subtraction method used to the detection of the moving target. In the paper, confident exponent is proposed to construct the original background, and an adaptive strategy is applied to update the background in time. This method was applied on tracking the car in the exam of drive's license. The experiments showed that this method was very promising and could overcome the background change and target change.

关键词： target tracking change detection background construction difference Kalman-filter

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automatic recognition of earthquake-caused building damage in cities using multispectral image fusion - art. no. 678621

Automatic recognition of earthquake-caused building damage i...

引用

5th International Symposium on multispectral image Processing and Pattern recognition

作者： Wang, Haihui Hui Du Chen, Minjiang Cai, Aiping Wuhan Inst Technol Sch Engn & Comp Sci Wuhan 430073 Peoples R China

ISBN: (纸本)9780819469502

automatic recognition based on image fusion techniques are widely used to integrate a lower spatial resolution multispectral image with a higher spatial resolution panchromatic image. The earthquake events were first researched after the Kocaeli Earthquake of 1999 show that the spatial images from various satellites could be exploited. The remote sensing which in terms of spatial resolution and data processing open new possibilities concerning the natural hazard assessment. However, the existing techniques either cannot avoid distorting the image spectral properties or involve complicated and time-consuming frequency decomposition and re-construction processing. To address these problems, we present our study on a HIS transform and intensity modulation algorithm. The algorithm is further optimized a proposed objective of minimizing error rate. Experiments in recognition of building damage due to earthquakes applications show that the algorithm provides better recognition accuracy than others. Although some environment problems, such as the influence of sunshine need further research, the proposed method can benefit further study of the application.

关键词： automatic recognition multispectral image HIS transform intensity modulation algorithm image fusion

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target detection based on hierarchical saliency feature model

Target detection based on hierarchical saliency feature mode...

引用

5th International Symposium on multispectral image Processing and Pattern recognition

作者： Wang, Yuehuan Lan, Qian Zhang, Tianxu Huazhong Univ Sci & Technol State Key Lab Multi Spectral Informat Proc Techno Inst Pattern Recognit & Artificial Intelligence Wuhan 430074 Peoples R China

ISBN: (纸本)9780819469502

A target description model based on hierarchical saliency feature and target detection based on the model are proposed, which integrates bottom-up and top-down vision attention mechanisms together. Some saliency features of target are extracted on multi-scale, such as local symmetry, corner and so on, which are then processed hierarchically. This makes detection process much simpler and robust. Experiments demonstrate that the approach proposed is effective.

关键词： attention mechanism hierarchical saliency feature target detection

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