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

共 159 条记录，以下是61-70 订阅

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An automatic remote sensing mosaic algorithm based on modified SIFT feature

An automatic remote sensing mosaic algorithm based on modifi...

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： Chen, Zhong Deng, He Wang, Guoyou Intelligence Control Insititute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China Multi-Spectral Information Processing State Key Laboratory Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478092

Image mosaic technology is an important research field of image processing and a research focus on the computer vision and computer graphics. The traditional method is to select the feature points by manual selection method, which faces the problem of low reliability and efficiency in the batch of the image mosaic. The SIFT features have many properties that make them suitable for matching differing images of an object or scene. But the computation amount and the computation complexity are so great, which restricts the further real time application. So an automatic remote sensing image mosaic algorithm based on modified SIFT feature is presented in this paper to solve these problems. The method presented in this paper consisted of three steps: noise removal, modified SIFT feature registration and automatic mosaic. The test results show the modified mosaic algorithm based on the SIFT feature can improve the matching accuracy and reduce the computation times. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Computer graphics

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A new roadmap constitution method based on dividing grid and level-set

A new roadmap constitution method based on dividing grid and...

引用

International Symposium on Intelligence information processing and Trusted Computing

作者： Li, Shidong Ding, Mingyue Cai, Chao Institute for Information Engineering of Hubei University for Nationalities Enshi Hubei China Institute for Pattern Recognition and Artificial Intelligence National Lab. for Multi-spectral Information Processing Technologies HUST Wuhan China College of Life Science and Technology Image Processing and Intelligent Control Key Laboratory of Education Ministry of China HUST Wuhan China

ISBN: (纸本)9780769541969

Roadmap methods were widely used in route planning fields, both for robots and unmanned aircrafts. Traditional roadmap is constituted by connecting the vertexes of convex obstacle, which is related to the locations of start and goal of route, so the roadmap can not be reused when anyone of start and goal changed. Absence of reusability reduces the efficiency of route planning by using roadmap. A new roadmap constitution method was proposed in this paper, which is build on dividing the 2D configuration space into multi-scale grids and setting nodes of roadmap on grid boundary using Level-Set method, same method was used to construct the map cells of roadmap between any two nodes lays on same grid . The roadmap constituted with new method can be reused when the start or goal was changed;it is efficient for replanning problem. © 2010 IEEE.

关键词： Reusability

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An algorithm for remote sensing image mosaic based on valid area

An algorithm for remote sensing image mosaic based on valid ...

引用

2011 International Symposium on Image and Data Fusion, ISIDF 2011

作者： Yang, Yi Gao, Yuan Li, Haitao Han, Yanshun Key Laboratory for Multi-spectral Information Processing Technologies IPRAI Huazhong University of Science and Technology Wuhan 430074 China Key Laboratory of Geo-informatics of State Bureau of Surveying and Mapping Chinese Academy of Surveying and Mapping Beijing 100830 China

ISBN: (纸本)9781457709692

In order to realize automatic image mosaic with HJ-1 satellite images, this paper proposes a bisector seamline algorithm which is based on the geometric characters of the remote sensing images valid areas. Firstly, the valid area is used to replace primitive rectangle image to participate in image mosaic, the feathering seamline is automatically generated on valid area. Then the seamline is effectively removed by an improved feathering algorithm. Finally, through the mosaic experiment on a group of 9 remote sensing images, the experimental result indicates that the new algorithm is applicable for complex polygon overlap, easy to realize and has a good visual effect. © 2011 IEEE.

关键词： Remote sensing

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Curve reconstruction from a set of dense scattered points using A* algorithm

Curve reconstruction from a set of dense scattered points us...

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

作者： Sun, Yangguang Zhou, Chengping Cai, Chao Ding, Mingyue Institute for Pattern Recognition and Artificial Intelligence State Key Laboratory for Multi-spectral Information Processing Technologies HUST Wuhan 430074 China College of Life Science and Technology Image Processing and Intelligence Control Key Laboratory of Education Ministry of China HUST Wuhan 430074 China

ISBN: (纸本)9780819478061

In this paper, a novel curve reconstruction method based on A* algorithm from a set of dense scattered points was proposed. Our method can not only reconstruct dense scattered points with single connected complicated form, but also solve the problem building the curve from the scattered points with close form and multiply connected form. Moreover, the influence of noise points on reconstructed curves is farther decreased, and the shape of dense scattered points will be well hold. Experimental results have demonstrated that the proposed method has the feasibility and robustness. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Pattern recognition

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Design and implementation of knowledge base for target recognition in remote sensing images

Design and implementation of knowledge base for target recog...

引用

2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010

作者： Chen, Shaobin Cai, Chao Li, Erlang Ding, Mingyue Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology State Key Laboratory for Multi-spectral Information Processing Technologies Wuhan 430074 China School of Life Science and Technology of Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781424459346

In this paper, the knowledge modeling, architecture design and detailed implementation of an ontology-based knowledge base for target recognition in remote sensing images is presented. Knowledge base is a critical component of a large ground target recognition system which is a hybrid system that combines knowledge base with remote sensing image processing module. The knowledge base provides necessary knowledge for remote sensing image processing module, and remote sensing image processing module can perform multiple tasks with the support of the knowledge base. The existence of the knowledge base makes the whole recognition system more flexible and more generic than those systems without knowledge base. The effectiveness of the presented knowledge base shows the good prospect of the application of knowledge base in remote sensing image processing domain. ©2010 IEEE.

关键词： Knowledge based systems

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An improved High-Frequency-Raised inversion algorithm for radar imaging

An improved High-Frequency-Raised inversion algorithm for ra...

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2010 International Conference on Microwave and Millimeter Wave technology, ICMMT 2010

作者： He, Linfeng Li, Qingxia Leng, Yi Dong, Jian Hu, Guoping National Key Lab. of Sci. and Tech. on Multi-spectral Information Processing Technologies Huazhong University of Sci. and Tech. Wuhan 430074 China Dept. of Information Counter Air Force Radar Academy Wuhan 430019 China

ISBN: (纸本)9781424457052

The synthetic aperture technique can not be used to improve azimuth resolution in forward-looking mode or real aperture radar systems. In this paper, an improved High-Frequency-Raised (HFR) algorithm is introduced to enhance the azimuth resolution of radar systems. The super-resolution performance of the proposed algorithm depends on the raise coefficient and is different for different equivalent antenna patterns. Simulation and experimental results validate the capability of the improved HFR algorithm. © 2010 IEEE.

关键词： Directional patterns (antenna)

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Path planning for UAV based on quantum-behaved particle swarm optimization

Path planning for UAV based on quantum-behaved particle swar...

引用

MIPPR 2009 - Medical Imaging, Parallel processing of Images, and Optimization Techniques: 6th International Symposium on multispectral Image processing and Pattern Recognition

作者： Fu, Yangguang Ding, Mingyue Zhou, Chengping Cai, Chao Sun, Yangguang Institute for Pattern Recognition and Artificial Intelligence State Key Laboratory for Multi-spectral Information Processing Technologies Huazhong University of Science and Technology Wuhan 430074 China College of Life Science and Technology Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478085

Based on quantum-behaved particle swarm optimization (QPSO), a novel path planner for unmanned aerial vehicle (UAV) is employed to generate a safe and flyable path. The standard particle swarm optimization (PSO) and quantum-behaved particle swarm optimization (QPSO) are presented and compared through a UAV path planning application. Every particle in swarm represents a potential path in search space. For the purpose of pruning the search space, constraints are incorporated into the pre-specified cost function, which is used to evaluate whether a particle is good or not. As the system iterated, each particle is pulled toward its local attractor, which is located between the personal best position (pbest) and the global best position (gbest) based on the interaction of particles' individual searches and group's public search. For the sake of simplicity, we only consider planning the projection of path on the plane and assume threats are static instead of moving. Simulation results demonstrated the effectiveness and feasibility of the proposed approach. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Motion planning

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Linear and Nonlinear Detections for Noncoherent Spatial-multiplexing Based MIMO-MASK 22

Linear and Nonlinear Detections for Noncoherent Spatial-mult...

引用

22nd IEEE International Conference on Communication technology, ICCT 2022

作者： Li, Longhui Yang, Chao Hu, Zewei Deng, Xiaofang Zheng, Lin University of Electronic Technology Key Lab. of Cognitive Radio and Information Processing Ministry of Education Guilin541004 China State Key Lab. of Integrated Services Networks Xi'an710071 China

ISBN: (纸本)9781665470674

multiple-input-multiple-output (MIMO) based on energy detection has the advantages of being insensitive to Doppler shift and low complexity. However, the square-law processing causes the nonlinear mutual interference of MIMO spatial-multiplexing signal detection. In this paper, linear and nonlinear detections are derived for spatial-multiplexing based MIMO multi-level amplitude-shift keying (MIMO-MASK) modulation. The linear low-complexity detection is based on the equivalent linear model with the complementary amplitude waveform and the energy difference operation at receiver;The other nonlinear detection using deep neural network is theoretically analyzed to be suitable for the nonlinear model of mutual interference. The former requires estimation of real channel information, while the latter does not require pre-estimation of channel information but requires supervised network training. The performances of both detection algorithms are verified by simulations, and both of them are insensitive to Doppler shift. © 2022 IEEE.

关键词： Deep neural networks

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Fast on-ship route planning using improved sparse A-star algorithm for UAVs

Fast on-ship route planning using improved sparse A-star alg...

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MIPPR 2009 - Medical Imaging, Parallel processing of Images, and Optimization Techniques: 6th International Symposium on multispectral Image processing and Pattern Recognition

作者： Yang, Xin Ding, Mingyue Zhou, Chengping Cai, Chao Yu, Qi Shao, Shuai Institute for Pattern Recognition and Artificial Intelligence State Key Laboratory for Multi-spectral Information Processing Technologies Huazhong University of Science and Technology Wuhan 430074 China College of Life Science and Technology Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780819478085

This paper presented improved Sparse A-Star Search (SAS) algorithm to pursue a fast route planner for Unmanned Aerial Vehicles (UAVs) on-ship applications. Our approach can quickly produce 3-D trajectories composed by a set of successive navigation points from certain known initial locations to predetermined target locations. The result routes are not only ensuring collision avoidance with the environmental obstacles, but also satisfying specific routes constraints and objectives. The experiment results demonstrated the feasibility of the method, which makes our route planner be more useful in real systems. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Ships

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Distributed Passive Sensor Trajectory Association and Fusion

Distributed Passive Sensor Trajectory Association and Fusion

引用

International Conference on Autonomous Unmanned Systems, ICAUS 2021

作者： Chang, Ruowang Wang, Bolan Xu, Shengli Cheng, Haoyu Wang, Yuehuan Huazhong University of Science and Technology Wuhan China National Key Lab of Science and Technology on Multi-spectral Information Processing Wuhan China Shanghai Electro-Mechanical Engineering Institute Shanghai201109 China Northwestern Polytechnical University Xi’an710072 China

ISBN: (纸本)9789811694912

The two key steps in the space-based optical passive tracking system are track association and fusion. The traditional distributed fusion methods are based on three-dimensional trajectory and are not suitable for the two-dimensional track association problem of passive sensors. For this reason, the probability distribution of the hinge angle difference statistic is modeled exactly in the correct and the wrong association situation. Then regarding the track association task as a two-dimensional assignment problem, we use Kuhn-Munkras algorithm to find the optimal association results of the bipartite graph. Finally, we model the target motion process and the sensor measurement process, and use UKF algorithm to fuse angular trajectories, which can accurately reconstruct the spatial position of the target. The simulation results under the STK platform show that our algorithm has favorable association and fusion performance. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Graph theory

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