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检索条件"机构=Beijing Key Laboratory of Embedded Real-Time Information Processing Technology"

共 575 条记录，以下是231-240 订阅

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Robust low-rank abundance matrix estimation for hyperspectral unmixing

Robust low-rank abundance matrix estimation for hyperspectra...

引用

IET International Radar Conference 2018, IRC 2018

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

Hyperspecral unmixing (HU) is one of the crucial steps of hyperspectral image (HSI) processing. The process of HU can be divided into end-member extraction and abundance estimation. Lots of abundance estimation methods just take some properties of abundance into consideration, such as non-negative, sum-to-one and so on but ignore the noise corruption. However, in practical applications, there are always high-noise bands in HSI due to water absorption, atmospheric transmission, and other inevitable factors, which lead to the estimation accuracy reduction. Here, we propose a new abundance estimation model which takes the mixing pattern of endmembers and low signal-to-noise ratio (SNR) bands of HSI into consideration simultaneously. The constraints considering not only the low-rank feature of abundance but also the sparsity quality of noise are imposed on the new model for more robust results. Adequate experiments both on synthetic and real hyperspectral data have confirmed the superiority of our method. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Water absorption

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Ship classification based on convolutional neural networks

Ship classification based on convolutional neural networks

引用

IET International Radar Conference 2018, IRC 2018

作者： Zhenzhen, Li Baojun, Zhao Linbo, Tang Zhen, Li Fan, Feng School of Information and Electronic Beijing Institute of Technology China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China

Ship classification in optical images has been challenged by the complexity of various ships, different imaging conditions, and limited labelled images. Traditional methods focus on extracting handcrafted features for classification, but often fails to design well-performed features for complex images. Here, the authors propose a ship classification approach with CNN. It is capable of learning discriminative features itself by supervised learning and achieving good classification performance. They build two small datasets of optical ship images for training and validation, and conduct several experiments. The experimental results indicate that their approach is effective for ship classification. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Ships

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Long-term tracking with fast scale estimation and efficient re-detection

Long-term tracking with fast scale estimation and efficient ...

引用

IET International Radar Conference 2018, IRC 2018

作者： Zengshuo, Zhang Linbo, Tang Yuqi, Han Jinghong, Nan Baojun, Zhao School of Information and Electronic Beijing Institute of Technology China Beijing Key laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China

In long-term tracking applications, occlusion and scale variation are common attributes which cause performance degradation. Existing solutions use heavy calculation to deal with these problems, without considering the real-time implementation. Therefore, the authors propose a novel long-term tracker with fast scale estimation and efficient re-detection scheme to maintain real-time speed and favourable accuracy. Specifically, the authors integrate a distance metric method into correlation filter-based tracker to realise fast translation calculation and scale estimation. In addition, the authors advocate a keypoint-matching based confidence indicator to verify the tracking result and activate the re-detection module when the occlusion happens. The authors test our approach on challenging sequences with scale variation and occlusion. Experiments demonstrate that our proposed tracker procures preferable effect than state-of-the-art methods in the aspect of both speed and accuracy. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： real time control

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Compressed spatial-spectral feature representation for hyperspectral ground classification

Compressed spatial-spectral feature representation for hyper...

引用

IET International Radar Conference 2018, IRC 2018

作者： Shichao, Zhou Baojun, Zhao Linbo, Tang Wenzheng, Wang School of Information and Electronic Beijing Institute of Technology China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing100081 China

The difficulty of classification tasks in hyperspectral imagery (HSI) strongly depends on the representation of spectral or spatial information. Vast amounts of approaches have been proposed to deal with spectral and spatial feature extraction, respectively. However, most of the methods neglect the inherent relationships between them. Inspired by the extreme learning machine (ELM) theory, the authors propose a new fusion-ELM framework for multiple sources representation learning and fusion. The resultant features are utilised to deal with HSI classification. With the multiple network channels and aggregation layers, the presented scheme could achieve spatial and spectral feature representations of inputs, respectively, and obtain optimal joint feature. Experimental results show that their fusion-model leads to decent improvements in classification accuracy over spectral-only, spatial-spectral-joint model and deep learning framework on two hyperspectral benchmarks. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Classification (of information)

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Fast Digital Beamforming for Conformal Array

Fast Digital Beamforming for Conformal Array

引用

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

作者： Lu, Yiling Xiang, Yin Zhao, Yikun 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

The conventional digital beam forming (DBF) for conformal array needs to scan a series of look angles with small angular separation to obtain a high-resolution pattern. Inspired by the fast back projection algorithm (FBP)[3] for SAR imaging, a fast DBF algorithm for the conformal array is proposed in this paper. Firstly, the conformal array is divided into several subarrays, and the pattern of each subarray is formed in a coarse resolution. Then, the pattern of each subarray is interpolated to a high resolution one by FFT. Finally, all subarrays' high-resolution pattern is added together to form the pattern of the whole array. The simulation results have proved the efficiency and accuracy of the proposed algorithm. © 2019 IEEE.

关键词： Beamforming

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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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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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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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Analysis and identification of continuous line target in SAR echo based on sidelobe features

Analysis and identification of continuous line target in SAR...

引用

IET International Radar Conference 2018, IRC 2018

作者： Wei, Yangkai Chen, Xinliang Fan, Yujie Ding, Zegang Wen, Cheng Radar Research Lab School of Information and Electronics Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China

There are a large number of continuous line targets in the synthetic aperture radar (SAR) images of land scenes. The traditional SAR processing, which makes the continuous line targets becomes two point targets in traditional SAR images, cannot reveal the complete features of continuous line targets and cause enormous difficulties for SAR image interpretation. This study analyses the reason why traditional SAR processing cannot embody the edge characteristics of continuous line targets based on the sidelobe features of the SAR echo. The authors propose a new identification method based on the difference of the echo amplitude between continuous line target and point targets, which will help to interpret the continuous line targets in SAR images. Numerical simulation experiment based on the classical strip SAR validates the effectiveness of the proposed method. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Synthetic aperture radar

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Point spread character based low SNR single pixel infrared target detection

Point spread character based low SNR single pixel infrared t...

引用

IET International Radar Conference 2018, IRC 2018

作者： Nan, Jinghong Zhao, Baojun Tang, Linbo Zhang, Zengshuo Tang, Wei 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

Robust and efficient low signal-to-noise ratio (SNR) single pixel infrared (IR) target detection has been a key technique in IR searching and tracking system. However, there exist two critical difficulties, i.e. noise disturbance and low contrast between target and background, influencing detection accuracy. A novel IR target detection method is proposed to overcome those difficulties, by utilising the point-spread character. Specifically, a point-spread indicator is advocated to protect the potential target with the median filter to suppress the noise. Afterwards, a two-step enhancement model is built to increase the contrast value between target region and surrounding background effectively. In the first step, a point-spread local contrast method is proposed to enhance targets and suppress background. In the second step, a high boost filter is introduced to further enhance the target. In addition, an adaptive segmentation method is exploited to extract targets from the enhanced image. Experimental results on testing sequences demonstrate that this method outperforms the other state-of-the-art methods in single pixel IR target detection with higher detection rate, lower false alarm rate and less time consuming. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Median filters

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