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High range resolution processing based on multi-band Beidou-2 direct signals

High range resolution processing based on multi-band Beidou-...

引用

IET International Radar Conference 2015

作者： Zeng, Tao Tian, Weiming Wang, Jingyang Zhang, Tian Radar Research Laboratory School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing China

ISBN: (纸本)9781849199940

Synthetic aperture radar (SAR) systems have been successful in applications of monitoring stationary terrain. Recently, bistatic SAR systems using GNSS satellites as illu - minates attract intensive attentions in the research field of SAR. Due to the abundant frequency resources of GNSS systems, high resolution synthetic technology in range dimension is of great significance to make full use all of these resources. This paper presents a high resolution synthetic technology in range dimension, which can be used to process general signals obtained by radar systems. In this paper, GNSS signal is considered particularly and that method is modified to deal with GNSS signals. Then an experiment is carried out by Beidou-2 satellites system. The experiment result shows that this method is quite useful to Beidou-2 direct signals and the feasibility and effectiveness of this algorithm is verified.

关键词： Synthetic aperture radar

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A novel PS points' association method based on sliding-type scattering center for bistatic/multistatic SAR

A novel PS points' association method based on sliding-type ...

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IET International Radar Conference 2015

作者： Wang, Jingyang Zeng, Tao Xiang, Yin Hu, Cheng Radar Research Laboratory School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing China

ISBN: (纸本)9781849199940

Synthetic aperture radar (SAR) systems have been successful in applications of monitoring stationary terrain. Recently, bistatic/multistatic SAR systems with the ability to obtain information from multiple directions attract intensive attentions in the research field of SAR. Considering that the images registration method is the fundamental of making full use of multi-angle information, this paper propose a novel PS points' association method based on sliding-type scattering centers for bistatic/multistatic SAR images in order to realize the images registration. This method has solved the problem that traditional images registration method by PS points only can be used with single angle observation and is of great significance for multi-angle information fusion and multi-baseline interferometric by bistatic/multistatic SAR systems.

关键词： Synthetic aperture radar

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Object classification of remote sensing images based on BOV

Object classification of remote sensing images based on BOV

引用

IET International Radar Conference 2015

作者： Zhao, Boya Shi, Hao Chen, Liang Chen, He Bi, Fukun Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing100081 China North China University of Technology Beijing100144 China

ISBN: (纸本)9781849199940

In order to classify the remote sensing land-use objects efficiently with the very high resolution (VHR) remote sensing images, this letter proposes a remote sensing object classification method based on bag of visual words (BOV) model. This method combines the scale invariant feature transform (SIFT) feature and the texture feature as remote sensing words. Then, the remote sensing words are used for generating word frequency histograms. The histogram is the bridge of the remote sensing words and the classifier. At last, in the classifier design section, the histogram intersection kernel (HIK) is adopted in the SVM. We use the proposed classification method to classify the UC Merced dataset and self-made dataset. Experimental results show that the proposed remote sensing object classification method yields better classification than the existing methods in terms of the classification accuracy.

关键词： Classification (of information)

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Experimentalvalidation for impacts of temporal-spatial variant ionosphere on GEO SAR using GNSS satellite signals

Experimentalvalidation for impacts of temporal-spatial varia...

引用

IET International Radar Conference 2015

作者： Dong, Xichao Hu, Cheng Zhang, Dandan Tian, Weiming Tian, Ye Long, Teng School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781849199940

Geosynchronous SAR (GEO SAR) is susceptible to ionosphere due to the ultra-long integration time and ultrawide coverage, resulting in image defocusing and image drift. This paper demonstrates a validation experiment of analysing ionospheric impacts on GEO SAR focusing. The validation experiment consists of data acquisition of the global navigation satellites system (GNSS) satellites signals (including GPS and Beidou IGSO satellites), equivalent pre-processing, GEO SAR signal modelling, image focusing and evaluating. The recorded data are equivalently transformed into the space and time frame of GEO SAR. Then the phase errors induced by ionosphere in GEO SAR can be generated from the equivalently preprocessed data and then incorporated into the GEO SAR signals. The following image focusing and the impacts analysis are accomplished. In cases of the current GEO SAR system configuration, the existence of ionosphere will induce image drifts but can be corrected through image registration techniques. In other aspects, the image can be well focused in range direction. But for the azimuthal focusing, the second and higher derivatives of TEC will result in defocusing and the thresholds of wellfocusing are dependent on the specific GEO SAR system configuration.

关键词： Synthetic aperture radar

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Eye-gaze tracking system by haar cascade classifier

Eye-gaze tracking system by haar cascade classifier

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IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Yunyang Li Xin Xu Nan Mu Li Chen School of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Wuhan China

ISBN: (纸本)9781467386456

Human can quickly and effortlessly focus on a few most interesting points in an image. Different observers tend to have the same fixations towards the same scene. In order to predict observer's fixations, eye gaze information can be used to reveal human attention and interest. This paper presents a real-time eye gaze tracking system. Haar cascade classifier is used to calculate the position of eye gaze based on the rectangular features of human eye. Then this position is adopted to match the space coordinates of screen representing where an observer is looking. The experimental results from different kinds of scenes validate the effectiveness of our system.

关键词： Gaze tracking Calibration real-time systems Feature extraction Conferences Cameras Observers

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Texture-based urban detection using contourlet coefficient on remote sensing imagery

Texture-based urban detection using contourlet coefficient o...

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IET International Radar Conference 2015

作者： Li, Cheng Pang, Zhaofeng Zhao, Baojun Wang, Shuigen School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781849199940

This paper presents an original urban detection on remote sensing images, which is based on efficient textural features extracted from contourlet transform domain. Since cities and towns are consisted of various objects, which have great differences in scale, directivity and texture characteristics, it is adaptive for contourlet transform to detecting urbans result from its discrete-domain multi-resolution and multi-direction expansion using nonseparable filter banks. Therefore, construction of contourlet coefficients can capture the intrinsic geometrical structure that is the key in visual information. On the other hand, we employ robust texture features in contourlet domain for recognizing urban regions from other land type by LS-SVM classifier. The performance of the proposed approach was validated by experiments carried on a data set of large images consisting of heavily negative samples.

关键词： Contourlet transform

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Coherent parameters estimation method based on MUSIC and KF in Wideband DCAR

Coherent parameters estimation method based on MUSIC and KF ...

引用

IET International Radar Conference 2015

作者： Zhang, H.G. Lei, Z.J. Song, Y.Y. School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781785610387

Wideband distributed coherent aperture radar has become the most significant direction in next generation radar. Its high range resolution due to wideband and high angle resolution because of distributed aperture can accurately estimate the target's range and angle. In result, tracking and identification can be employed. However, single radar cannot detect the long-range target because of its relatively low SNR. Therefore, precisely estimating the coherent parameters under low SNR in order to achieve the coherent synthesize is the key problem in distributed coherent aperture radar. In this paper, the wideband dechirping echo and coherent parameters model are built firstly. Then a novel coherent parameters estimation method based on MUSIC and Kalman filter is proposed. Finally, simulations are carried out to illustrate the performance of the proposed method under low SNR.

关键词： Kalman filters

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The guided image filtering for speckle reduction in SAR images

The guided image filtering for speckle reduction in SAR imag...

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IET International Radar Conference 2015

作者： Shi, Hao Chen, Liang Mai, Zhi-Hong Chen, He Bi, Fu-Kun Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing100081 China College of Information Engineering North China University of Technology Beijing100144 China

ISBN: (纸本)9781849199940

The reduction of SAR image speckle noise is an important issue. However, the existing denoising methods may cause the resolution and details loss. This paper proposes a SAR image speckle reduction method based on the guided image filtering. This method combines the edge-preserving property of guided filtering and can maintain the detail information meanwhile suppressing the speckle. Experimental results show that the proposed method can effectively reduce speckle and keep the polarization information, point targets and texture structure. Meanwhile, it is able to handle large SAR images simply and effectively.

关键词： Synthetic aperture radar

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A fully coherent motion compensation method of ISAR imaging based on synthetic wideband PD radar

A fully coherent motion compensation method of ISAR imaging ...

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IET International Radar Conference 2015

作者： Fan, Hua-Yu Ren, Li-Xiang Zhang, Kang Mao, Er-Ke Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing100081 China Radar Research Lab. Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781849199940

In order to solve the problem of accurate motion compensation of ISAR imaging, and get high quality ISAR images, this paper proposes a fully coherent motion compensation method based on synthetic wideband PD radar. The method adopts phase derived velocity measurement (PDVM) based on range profile cross-correlation (RPCC) that enables it to accurately estimate the instantaneous target velocity, which is an important benefit of the excellent coherence charicteristics of the synthetic wideband PD radar. Applying the estimated velocity to envelope alignment and translational phase adjustment process of ISAR imaging, we finally get high quality ISAR images. The experimental results of ISAR imaging on aircrafts verify that the proposed method is effective.

关键词： Velocity measurement

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A novel watershed segmentation method for SAR image

A novel watershed segmentation method for SAR image

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IET International Radar Conference 2015

作者： Shen, Jinjing Ma, Long Chen, Liang Chen, He Yu, Ying Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing100081 China School of Information Science and Engineering Yunnan University Kunming650091 China

ISBN: (纸本)9781849199940

This paper proposes a new SAR (Synthetic Aperture Radar) image watershed segmentation method based on contextual statistical features analysis. This method firstly homogenizes all the sub-blocks of image by analysing statistical features, and then extracts the feature of each homogenized sub-block. Finally, the watershed area of this image can be segmented by means of Otsu algorithm. The experimental results show that our proposed method outperforms the conventional methods in both accuracy and time consuming.

关键词： Synthetic aperture radar

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