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Spectral-spatial classification of hyperspectral remote sensing image based on capsule network

Spectral-spatial classification of hyperspectral remote sens...

引用

IET International Radar Conference 2018, IRC 2018

作者： Jia, Sen Zhao, Baojun Tang, Linbo Feng, Fan Wang, WenZheng School of Information and Electronic Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China

Hyperspectral image (HSI) classification is a hot topic in remote sensing community;many researchers have made a great deal of effort in this domain. Recently, deep learning-based manner paves a new way to better classification accuracy. However, the flow of information between layers and layers (e.g. max-pooling) in traditional deep architecture turns out to be ineffective. In this study, a novel spectral-spatial classification framework for HSI based on Capsule Network (CapsNet) and dynamic routing algorithm is introduced. The proposed architecture is composed of a hybrid of 1D and 2D convolutional layers and two capsule layers for better and effective mining and combining features. Consequently, experiments on two popular dataset indicate that CapsNet-based framework outperforms traditional CNN-based counterparts. Moreover, this study reveals great potential for CapsNet model in the field of HSI classification. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Remote sensing

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A Novel Economical Design of Multistage Decimators for Low Latency Audio Applications 22

A Novel Economical Design of Multistage Decimators for Low L...

引用

22nd IEEE International Conference on High Performance Computing and Communications, 18th IEEE International Conference on Smart City and 6th IEEE International Conference on Data Science and Systems, HPCC-SmartCity-DSS 2020

作者： Hu, Wei Zheng, Chongwei Wang, Yonghao Liu, Jing Chen, Cen Zeng, Zeng Wuhan University of Science and Technology College of Computer Science and Technology China Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System Wuhan China Birmingham City University Digital Media Technology Lab Birmingham United Kingdom Institute for Infocomm Research Singapore

ISBN: (纸本)9781728176499

The oversampling sigma-delta analog-To-digital converter (ADC) is widely used in digital audio systems for its low hardware cost and high precision. The digital filter part of the ADC is the primary source of the silicon and power cost. In this work, we proposed an economical multistage decimation filter architecture to meet the requirements of commercial ADC specifications with a further novel multi-objective optimization strategy. We took group delay and computational cost as objective functions and used annealing algorithm to readjust the stopband attenuation, stopband edge and passband ripple of each filter. Our multistage architecture combines cascaded integrator-comb (CIC) filters, compensating filters and equiripple finite impulse response (FIR) filters at the different stages to balance the overall performance. The experimental results showed that our design approach worked with multi-objective optimization strategy could achieve low group delay with lower cost compared to traditional designs. © 2020 IEEE.

关键词： Group delay

来源：评论

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The distributed SAR reconstruction method for line target

The distributed SAR reconstruction method for line target

引用

2019 IEEE International Conference on Signal, information and Data processing, ICSIDP 2019

作者： Fan, Yujie Chen, Xinliang Wei, Yangkai Wen, Yuhan Zeng, Tao DIng, Zegang Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Institute of Technology Chongqing Innovation Center Chongqing China

ISBN: (纸本)9781728123455

Due to the limited radar motion track, the main lobe information of the line target in the scene is often not observed by the SAR, resulting in discontinuity of the line image and reducing the quality of SAR image. In this paper, the line target reconstruction method based on the sparse distributed SAR system is proposed. We analyze the relationship between the SAR imaging performance and radar parameters of the sparse distributed SAR system, and estimate the geometric parameters of line targets in the scene, then reconstructed the continuous line images to improve image quality. Finally, the simulation of the proposed method is carried out. © 2019 IEEE.

关键词： Image enhancement

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Circular SAR imaging algorithm based on polar format algorithm for moving target

Circular SAR imaging algorithm based on polar format algorit...

引用

IET International Radar Conference 2018, IRC 2018

作者： Wang, Zhou Li, Feng Peng, XiangJun Yao, Di Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China

For stationary targets, circular synthetic aperture radar (CSAR) imaging has tended to be mature and perfect. However, for moving targets, due to the long synthetic aperture and the variation of slant plane with the observation angle, the motion compensation is more complicated and has no effective approach. Based on the latest moving target trajectory reconstruction method in CSAR (2015), the polar format algorithm can be improved to image the moving targets when the motion parameters have been estimated. First, the authors placed the imaging reference point on the target to track it, and then compensated for the phase error caused by the incident angle changing and the wavefront curvature. The simulation results of point show that the algorithm is effective and accurate. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Motion compensation

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The Analyses for Discretization behaviour of Line Segment Target in SAR Image

The Analyses for Discretization behaviour of Line Segment Ta...

引用

2019 IEEE International Conference on Signal, information and Data processing, ICSIDP 2019

作者： Wei, Yangkai Zeng, Tao Chen, Xinliang Fan, Yujie Wen, Yuhan DIng, Zegang School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China Beijing Institute of Technology Chongqing Innovation Center Chongqing China

ISBN: (纸本)9781728123455

Under the assumption of the point scattering model, traditional SAR imaging processing can depict the scattering features of the illuminated scene with a series of strong point scatterers. In the traditional SAR images, when the illuminated scene contains various line segment targets, only some line segment targets show line-segment-scattering features, whereas others are discretized into strong point scatterers. This discretization behaviour of line segment targets makes it difficult to interpret the factual geometrical structure of the line segment targets through SAR images. Unfortunately, neither the traditional point scattering model and imaging processing can provide a detailed analysis for the discretization behaviour of line segment targets. Hence, in this paper, we propose some detailed and comprehensible analyses for this problem from three aspects. First, by introducing the spatial spectrum analysis of SAR imaging, we provide an azimuth analysis for this problem from the perspective of the imaging system. Then, we analyse this problem from the range direction based on the high resolution range profile of received echo. Furthermore, through establishing a parametric model for the line segment targets, a comprehensive analysis for the problem is given based on the scattering features. Numerical simulation experiments demonstrate the effectiveness of our proposed analyses. © 2019 IEEE.

关键词： Synthetic aperture radar

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DDMA-MIMO Radar Maximum Unambiguous Velocity Extension Based on Global Optimization Phase Modulation

DDMA-MIMO Radar Maximum Unambiguous Velocity Extension Based...

引用

IEEE International Conference on Radar

作者： Hongfei Lian Fugang Lu Qiao Chen Jiamin Long Xueyao Hu Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China No. 203 Research Institute of China Ordnance Industries Xi'an China Beijing Science and Technology Ruixing Electronic Technology Co. Ltd Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China Beijing Institute of Technology Chongqing Innovation Center Chongqing China

ISBN: (纸本)9781665468893

Doppler division multiple access (DDMA) waveform shows great orthogonality for multiple-input multiple-output (MIMO) radar. However, it leads to a serious velocity ambiguous problem and hinders its application in automotive radar. In this work, a maximum unambiguous velocity extension approach is developed for DDMA MIMO radar by using a global ergodic optimization phase modulation during transmission. To be specific, we take the cumulative sum of the peak amplitude difference of global as the optimization cost function to obtain modulation codes. Furthermore, a matched filter phase demodulation carried out at the receiver to determine the results of angle measurement and velocity expansion. Finally, the simulation analysis and real-data experiments demonstrate our approach effectively improves velocity ambiguity resolving capabilities of DDMA waveform and suitable for massive MIMO array in nowadays automotive radar.

关键词： Matched filters Codes Phase modulation MIMO radar Radar detection Radar Doppler radar

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Monopulse SAR angle measurement based on total variation and monotonic iterative algorithm

Monopulse SAR angle measurement based on total variation and...

引用

IET International Radar Conference 2018, IRC 2018

作者： Hu, Bingtao Li, Feng Beijing Key Laboratory of Embedded Real-time information Processing Technology Beijing100081 China Radar Research Laboratory School of Information and Electronics Beijing Institute of Technology Beijing100081 China

Synthetic aperture radar (SAR) monopulse angle measurement is an adequate method of target angle measurement in low signal-to-clutter and noise ratio. However, there is a contradiction between the instantaneous angle measurement and the SAR coherent accumulation. In this study, the authors use the total variation method to solve the above problem, and propose the monotone iterative method to enhance the efficiency of the total variation method, which is verified in the simulation. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Angle measurement

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An Efficient Low Delay Task Scheduling Algorithm Based on Ant Colony System in Heterogeneous Environments 22

An Efficient Low Delay Task Scheduling Algorithm Based on An...

引用

作者： Yang, Pei Liu, Jing Chen, Cen Ding, Yucheng Deng, Chunhua Zeng, Zeng Wuhan University of Science and Technology College of Computer Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System Wuhan China Institute for Infocomm Research Singapore Hunan *** Interactive Entertainment Media Co Ltd Changsha China

ISBN: (纸本)9781728176499

Low delay is an important issue in a variety of applications on heterogeneous computing platforms. A great number of algorithms including heuristics as well as metaheuristics have been designed to minimize the completion time (i.e., makespan) of applications and achieved good results. However, the demand of high performance never stops. In this paper, we propose a new and efficient Ant-Colony based Low Delay Scheduling (ACLDS) algorithm to minimize the makespan of applications which can form directed acyclic graphs and are executed on a heterogeneous system. Simulated results show that our proposed algorithm is highly efficient in reducing makespan in comparison with state-of-The-Art scheduling algorithms. For instance, the reduction ratio can be up to 15.2174% for a Fast Fourier Transform (FFT) benchmark. © 2020 IEEE.

关键词： Scheduling algorithms

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THE DISTRIBUTED SAR IMAGING METHOD FOR CYLINDER TARGET

THE DISTRIBUTED SAR IMAGING METHOD FOR CYLINDER TARGET

引用

IEEE International Geoscience and Remote Sensing Symposium

作者： Fan Yujie Chen Xinliang Wei Yangkai Ding Zegang Wang Yan Wen Yuhan Tian Weiming Beijing Key Laboratory of Embedded Real-time Information Processing Technology

Traditional SAR imaging methods are based on point target scattering model, hence are not capable of recovering the shapes of distributed targets such as cylinders. The cylinder target is usually shown as two endpoints in the traditional single-angle SAR images. However, the distributed SAR can provide multi-angle observation information of the cylinder target. To improve the SAR image quality, we propose a distributed SAR imaging method for the cylinder target with a sparse distributed SAR configuration. The proposed method reconstructs the cylinder target by estimating the parameters from the SAR image, and then identity the cylinder target from the distributed SAR echo. When positive decision is made, the shape of the cylinder target can be recovered with these parameters. Numerical simulations have been conducted to demonstrate the effectiveness of the proposed method.

关键词： Radar imaging Radar polarimetry Synthetic aperture radar Radar tracking Scattering Image reconstruction

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A Method for Fast Remote Sensing Images Classification

A Method for Fast Remote Sensing Images Classification

引用

2019 IEEE International Conference on Signal, information and Data processing, ICSIDP 2019

作者： Li, Fengjiao Jing, Donglin Bi, Fukun Shi, Hao Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China School of Information Science and Technology Beijing China Beijing Institute of Technology Chongqing Innovation Center Chongqing401120 China

ISBN: (纸本)9781728123455

Due to the characteristic of high score remote sensing images, such as large file, chaotic content and complex information, the demand for image classification speed and accuracy is increasing. In this paper, we combine the convolutional neural network and octave convolution to extract the complex high-order statistical properties of the image. We first analyze the more classical convolutional neural network, and use the octave convolution to make full use of the fine details of the changes of the high-frequency information of the remote sensing image. The memory and computing resources consumed are greatly reduced, and network optimization is performed. The test proves that the result is effective for speed and accuracy improvements. © 2019 IEEE.

关键词： Convolution

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