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检索条件"机构=State Key Lab. for Multi-spectral Information Processing Technology"

共 159 条记录，以下是31-40 订阅

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Research on the method of medium wave infrared simulation based on Vega

Research on the method of medium wave infrared simulation ba...

引用

International Conference on multimedia technology

作者： Wang, Man Zhang, Tianxu State Key Laboratory for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781424478743

Visual Simulation, which has been applied widely to provide convenience to people from every walk of life, plays a crucial role in the field of Virtual Reality. In this thesis, 8 models representing 8 typical materials, are created by multiGen Creator, and rendered by Vega for analysis of relation between grey values in simulated pictures and real radiance. Finally, the method of infrared simulation based on Vega is proved effective in the field of military by comparison between simulated pictures and real shot pictures at different times of the day. ©2010 IEEE.

关键词： Virtual reality

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Manifold knowledge extraction and target recognition

Manifold knowledge extraction and target recognition

引用

MIPPR 2009 - Automatic Target Recognition and Image Analysis: 6th International Symposium on multispectral Image processing and Pattern Recognition

作者： Chao, Cai Hua, Zhou Institute of Pattern Recognition and Artificial Intelligence National Lab. for Multi-spectral Information Processing Technologies Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478061

Advanced mammalian target identification derived from the perception of target's manifold and measurement manifolddistance. It does not rely on object's segmented accuracy, not depend on target's variety model, and adapt to a range of changes on targets. In this paper, based on the existed manifold learning algorithm, set up a new bionic automatic target recognition model, discussed the targets manifold knowledge acquisition and the knowledge expression architecture, gave a manifold knowledge-based new method for automatic target recognition. Experiments show that the new method has a strong adaptability to targets various transform, and has a very high correctly identification probability. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Knowledge based systems

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Scene-adaptive detection and tracking of small target with moving imaging platform

Scene-adaptive detection and tracking of small target with m...

引用

MIPPR 2009 - Automatic Target Recognition and Image Analysis: 6th International Symposium on multispectral Image processing and Pattern Recognition

作者： Luo, Jiao Wang, Yuehuan Yao, Wei Zhang, Tian-Xu Inst. for Pattern Recognition and AI Huazhong Univ. of Sci. and Tech. Wuhan 430074 China State Key Lab. of Multi-spectral Information Processing Technology Wuhan 430074 China

ISBN: (纸本)9780819478061

At present, the detection and tracking of small target is developing rapidly and being widely used. In this paper, we proposed a real-time scene adaptive method for infrared small target detection and tracking in sea/sky background, while the imaging platform is moving at high speed. We use combination of scene recognition and the scene optimized target detection and tracking to realize scene adaptation. In this algorithm, we recognize the scene at first. By detecting the straight line through the image we can identify whether there exists a sea-sky line and recognize reflection of sunlight by detecting obvious texture at the same time. The results show that this algorithm can recognize the scene and realize the scene adaptive detection and tracking. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Target tracking

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Feature validity analysis based on target recognition of remote sensing image

Feature validity analysis based on target recognition of rem...

引用

MIPPR 2009 - Remote Sensing and GIS Data processing and Other Applications: 6th International Symposium on multispectral Image processing and Pattern Recognition

作者： Yao, Wei Wang, Yuehuan Wang, Hai Sang, Nong Inst. for Pattern Recognition and AI Huazhong Univ. of Sci. and Tech. Wuhan 430074 China State Key Lab. of Multi-spectral Information Processing Technology Wuhan 430074 China

ISBN: (纸本)9780819478092

A method of feature validity analysis is proposed in this research. More than 100 kinds of features which are commonly used in the remote sensing image analysis have been selected. In this process, we choose level set and Otsu segmentation methods to extract the target and use manually segmented target images as templates, based on the method, we can make a evaluation of these features validity especially the stability in multi-resolution. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Image analysis

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GEMI: A high performance and high flexibility memory interface architecture for complex embedded SOC

GEMI: A high performance and high flexibility memory interfa...

引用

International Conference on Computer Science and Software Engineering, CSSE 2008

作者： Hualong, Zhao Hongshi, Sang Tianxu, Zhang Yebin, Fan State Key Lab. for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China Department of Computer Science Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9780769533360

Two of the most significant factors in the success of today's system-on-chip (SoC) designs are the ability to deliver efficient access to off-chip high speed memory and the ability to be compatible with several different interface-timings of several different sorts of memories. And the scheduling scheme of data streams for multi-master and multi-outstanding requests situation in complex SoC should be considered carefully, too. This paper introduces a novel general external memory interface (GEMI) architecture for the high performance and high flexibility memory interface. Several techniques and methods, i.e. data and command buffers based on asynchronous FIFO, optimized bank management, multi-port access scheduler, request reorder unit, are proposed in this paper for fulfilling the requirements mentioned above. Some techniques are specially proposed for data streams scheduling in complex SoC. At the end of the paper, the simulation and tape-out results are provided. The whole implementation of architecture is proven to be not only functional and efficient, but also flexible and reusable by simulation and silicon verification. © 2008 IEEE.

关键词： Scheduling

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Memory-efficient architecture for fast two-dimensional discrete wavelet transform

Memory-efficient architecture for fast two-dimensional discr...

引用

International Conference on Computational Intelligence and Software Engineering

作者： Tian, Xin Wei, Jiaolong Tian, Jinwen Department of Electronics and Information Engineering Huazhong University of Science and Technology Wuhan China State Key Laboratory for Multi-spectral Information Processing Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781424453924

Memory-efficient architecture for fast two-dimensional Discrete Wavelet Transform(DWT) with high speed and small size of on-chip memory is proposed. It is composed of one row-wise one-dimensional(1-D) DWT module and two identical column-wise 1-D DWT modules. The input data samples are directly processed by the row-wise 1-D DWT module. This architecture reduces the size of on-chip memory and output latency. In further, the time multiplexing technology makes the column-wise 1-D DWT module process different column data samples generated from the row-wise 1-D DWT module. The proposed architecture is finally compared with the state of art architectures in terms of computing time, output latency and size of on-chip memory. The comparison results demonstrate that the proposed architecture is a high-speed architecture with less consumption of on-chip memory and shorter output latency. ©2010 IEEE.

关键词： Discrete wavelet transforms

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Locating sea-sky line in infrared image based on complex degree calculation

Locating sea-sky line in infrared image based on complex deg...

引用

MIPPR 2009 - multispectral Image Acquisition and processing: 6th International Symposium on multispectral Image processing and Pattern Recognition

作者： Wang, Peng Tian, Jinwen Gao, Chenqiang State Key Laboratory for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478054

Research on the location of sea-sky line under infrared complicated sea-sky background has the important value to improve the capability of far target recognition. In a real sea-sky background infrared image, the sky and the sea normally appear in the form of different changes of grey-level on account of their different infrared radiation and reflection characteristics. So we can use the background complex degree to differentiate between the sky region and the sea region. In our method, an operator is employed to calculate the background complex degree of image. By filtering original infrared image with the operator, the grey-level contrast between the sky region and the sea region can be stronger than original image. After the complex degree calculation, the edge detection with only row directional gradient and Hough transform are utilized in succession, the sea-sky line can be located. Some typical sea-sky background infrared images are selected to validate our proposed method. The experimental results indicate that our sea-sky line location method is robust. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Hough transforms

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A method of ground-based space object opho-electronic imaging simulation

A method of ground-based space object opho-electronic imagin...

引用

International Conference on multimedia technology

作者： Zhang, Putao Zhang, Tianxu State Key Laboratory for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781424478743

It is very necessary to observe, tracking and recognise interested space object including space debris around the earth. A simulation method about ground-based sensor observing, tracking and imaging space object is researched. It includes the visibility analysis of space object in the STK scene, the attitude description mode of object, the data alternant form and format between STK and Vega, the imaging method of the object through Vega and the visual realization of the process. ©2010 IEEE.

关键词： Space debris

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A flower algorithm for autonomous star pattern recognition

A flower algorithm for autonomous star pattern recognition

引用

作者： Gong, Jiaqi Ma, Jie Tian, Jinwen State Key Laboratory for Multi-spectral Information Processing Technologies Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781563479694

An autonomous star pattern recognition algorithm is proposed herein that is effectively stable against the higher level noise than other algorithms. In simulations using an 8×8 degree field of view (FOV), the algorithm identifies the correct section of sky on 99.5% of the sensor orientations where spatial accuracy of the imaged star is 2 pixels (0.03 degree) in standard deviation and the apparent brightness deviate by 0.5 units' stellar magnitude. The achievable performance comes from the generation of the Flower-code pattern, which includes angular distances and circular angles as the characteristics of the pivot star. The angular distances are used for initial lookup table match. Moreover, the circular angles are adopted for the cyclic dynamic match between the sensor pattern and the pattern candidates from the initial match. And also, the performance is demonstrated via a comparison study on two published algorithms. Copyright © 2009 by the American Institute of Aeronautics and Astronautics, Inc.

关键词： Table lookup

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Research on Adaptation Criteria Generation based on Large Data Mining 7

Research on Adaptation Criteria Generation based on Large Da...

引用

2016 IEEE Chinese Guidance, Navigation and Control Conference (IEEE CGNCC2016)

作者： Yun Hong-quan XU Li DOU Hao MING De-lie National Key Laboratory of Science and Technology on Aerospace Intelligence Control Beijing Aerospace Automatic Control Institute State Key Laboratory for Multi-spectral Information Processing Technologies School of AutomationHuazhong University of Science and Technology

ISBN: (纸本)9781467383196

This paper performs research on adaptation analysis based on large amount of multi-source remote sensing *** view of different demands from different task background,the research is firstly focused on how to analyze the data in computer *** achieve this,the feature parameters of target areas are extracted from different target area geographic *** combination of ORACLE database engine,data mining technology is used to carry out the target area adaptation assessment,and extract corresponding adaptation *** test the trained adaptation criteria on multi-source geographic information data of different target *** results show that the resulting criterion has certain coincidence rate and robustness.

关键词： image Research on Adaptation Criteria Generation based on Large Data Mining

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