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

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The guided image filtering for speckle reduction in SAR images

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

引用

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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An optimization algorithm based on Bi-SIFT for SAR image registration

An optimization algorithm based on Bi-SIFT for SAR image reg...

引用

IET International Radar Conference 2015

作者： Fuqiang, Liu Fukun, Bi Liang, Chen Hang, Wei Wenjie, Tie Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing100081 China School of Electronic Information Engineering North China University of Technology Beijing100144 China

ISBN: (纸本)9781849199940

Registration is an effective pre-processing for amounts of applications like image mosaic, mapping, remote detection, and change detection. The scale-invariant feature transform (SIFT) and block matching are two widely algorithms for registration in computer vision. However, as a result of speckle noises, the two algorithms perform unsatisfactorily on synthetic aperture radar (SAR) images. In this paper, we introduce an algorithm, which is named Bi-SIFT optimization algorithm, combing SIFT in two different scales and optimization model in block matching. Bi-SIFT ensures enough correct matching pairs rather than avoiding mismatching-pairs, which is used in traditional ways, to make it more effective. We illustrate the improvement brought by Bi-SIFT by both qualitative analysis and comparing test. Besides, we present serious registration applications of Bi-SIFT.

关键词： Synthetic aperture radar

来源：评论

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The implement of spaceborne SAR imaging system

The implement of spaceborne SAR imaging system

引用

IET International Radar Conference 2015

作者： Li, Yan Zhao, Boya Chen, Liang Chen, He Wang, Tao General Department China Academy of Space Technology Beijing100048 China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781849199940

With the rapid development of FPGA parallel processing and DSP float-point computing capability, FPGA and DSP play an increasingly important role in the field of high-speed real-time synthetic aperture radar (SAR) signal processing system. In this letter, based on the SAR imaging needs and principles, taking chirp scaling algorithm for example, we design a spaceborne SAR real-time imaging heterogeneous system implemented by FPGA and DSP. The heterogeneous system uses modular thinking, pipeline and parallel processing techniques, which greatly improves the speed and operation precision in SAR imaging. Besides, the SAR imaging system has a good realtime performance, scalability and faulty tolerance and can well meet the needs of spaceborne SAR imaging system. The system needs 19.72s to generate a 4096∗4096 pixel image.

关键词： Synthetic aperture radar

来源：评论

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A novel watershed segmentation method for SAR image

A novel watershed segmentation method for SAR image

引用

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

来源：评论

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Segmentation of oil spills in SAR image based on improved CV model

Segmentation of oil spills in SAR image based on improved CV...

引用

IET International Radar Conference 2015

作者： Tie, Wenjie Wang, Chonglei Bi, Fukun Shi, Hao Zhang, Xu Chen, He Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing100081 China School of Electronic Information Engineering North China University of Technology Beijing100144 China

ISBN: (纸本)9781849199940

Extracting the oil spills in SAR images has been challenged by the spatial heterogeneity caused by the speckles. In this paper, we present a novel variational formulation based on the local characteristics of SAR images for CV mode. The proposed method is aimed to solve the segmentation problem caused by SAR image speckles. Compared with the traditional CV model, the performance of the improved CV model is verified by plenty of real airborne SAR images and the experimental results on the real data show its efficiency and accuracy. By presenting various results in the classical threshold segmentation method and Markov random field method respectively, we conclude that the improved CV model is effective and accurate.

关键词： Synthetic aperture radar

来源：评论

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Plane detector based on P-N learning structure for video satellite

Plane detector based on P-N learning structure for video sat...

引用

IET International Radar Conference 2015

作者： Liu, Fuqiang Bi, Fukun Chen, Liang Wei, Hang Chen, Jing Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing100081 China School of Electronic Information Engineering North China University of Technology Beijing100144 China

ISBN: (纸本)9781849199940

With the rapidly development of video satellites, which provide sequential remote sensing images, amounts of data with high quality information are hunted to disposition. Object detection is one of the useful applications for video satellite and we focus on plane detection in this paper. Previous object detection methods focus on spatial structure rather than temporal information because they handle single image instead of video. We introduce a P-N learning structure dedicated to sensing video, which is firstly adopted in remote sensing video multi-object detection. We adapt a temporal management as P-expert and adapt a unique cascade classifier as N-expert. Our method use both structure information and temporal information, which make it more effective for sensing video. We detail each module and present an experiment to show the validity.

关键词： Satellites

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Context segmentation of oceanic SAR images: Application to oil spill detection

Context segmentation of oceanic SAR images: Application to o...

引用

IET International Radar Conference 2015

作者： Zhuang, Yin Chen, He Bi, Fukun Ma, Long Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing100081 China School of Electronic Information Engineering North China University of Technology Beijing100144 China

ISBN: (纸本)9781849199940

This paper introduces an algorithm based on the context of MRF (Markov random field) model, and this method achieved oil spilling detection and segmentation. In this paper, the two important elements are initial labelling field and potential parameter estimation. The algorithm model chooses optical pyramid of saliency map as initial label field and Ising model as segmentation function. Using the GMM (Gaussian Mixture Model) and MAP (Maximum a Posterior) get local optimal result by ICM (Iteration Condition Model) method. This paper is also deeply researching the potential parameter which is the impact factor in segmentation function. Through studying the relationship between potential function and every scale-levels of saliency pyramid, the paper gets the better result which is more accuracy segmentations and keeping more texture information. The series experiments prove this method having false alarming rejection and noise suppression function in Oceanic SAR images.

关键词： Synthetic aperture radar

来源：评论

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Modefied keystone processing algorithm for the space-based bistatic radar systems

Modefied keystone processing algorithm for the space-based b...

引用

IET International Radar Conference 2015

作者： Feng, Wenling Wei, Wei Liu, Feifeng Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing100081 China No.203 Research Institute of China Ordnance Industries China

ISBN: (纸本)9781849199940

The bistatic keystone processing algorithm was presented in the paper to increase the coherent integration time of the echo signal scattered from the moving target in the space-based bistatic radar systems. The high speed of receiver has a severe impact on the target detection of the system. Therefore, the echo of the central target was selected as the reference signal to remove the undesired impact of receiver in the target detection of space-based bistatic radar systems. The simulation results validate the proposed algorithm.

关键词： Phase space methods

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Strategy of spectrum reconstruction in stepped-frequency SAR imaging

Strategy of spectrum reconstruction in stepped-frequency SAR...

引用

IET International Radar Conference 2015

作者： Gao, Wenbin Guo, Yansu Liu, Luosi Ding, Zegang Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Laboratory of Radar Technology School of Information and Electronics Beijing Institute of Technology Beijng100081 China Beijing Institute of Remote Sensing Information Beijng100081 China

ISBN: (纸本)9781849199940

High range resolution of synthetic aperture radar (SAR) can be obtained by using the stepped-frequency technique, but it is still a problem how spectrum reconstruction methods can be combined correctly and effectively with SAR imaging algorithms. This paper analyzes the feasibilities of all the potential combinations between spectrum reconstruction methods and SAR imagingalgorithms, and the optimal combinations are proposed. The simulation results verify the analysis in this paper.

关键词： Radar imaging

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A near-field back-projection algorithm for wall penetrating SAR

A near-field back-projection algorithm for wall penetrating ...

引用

IET International Radar Conference 2015

作者： Liu, Wei Wei, Wei Zheng, Meng Xiang, Yin Ding, Zegang Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology China No. 203 Research Institute of China Ordance Industries Xi'an Shaanxi710065 China

ISBN: (纸本)9781849199940

We are going to develop a handheld wall penetrating SAR (WPSAR) to investigate the small shallowly buried objects such as thin wires, cables and so on. The WPSAR will be working very close to the wall surface, and the objects of interest sometimes buried inside the induced near-filed region of the probe. As a result, the traditional far-field SAR imaging algorithm cannot be used. Thus, a useful near-field back-projection algorithm is investigated in this paper, which backprojects the probe's aperture field into the wall, instead of backprojecting the echo signal along the wave propagation track as it is done in the traditional BP. A full wave simulation data given by CST is used to validate our algorithm. The result shows that the proposed near-field BP algorithm gives a correct imaging result while the traditional one fails.

关键词： Synthetic aperture radar

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