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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： Hao Shi Liang Chen Zhi-hong Mai He Chen Fu-kun Bi Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing 100081 China College of Information Engineering North China University of Technology Beijing 100144 China

ISBN: (纸本)9781510822023

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： SAR image guided image filtering remote sensing speckle reduction

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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： Jinjing Shen Long Ma Liang Chen He Chen Ying Yu Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing 100081 China School of Information Science and Engineering Yunnan University Kunming 650091 China

ISBN: (纸本)9781510822023

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： Context analysis Otsu method SAR image Statistical characteristic Watershed segmentation

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Interface conversion and extension based on FPGA in high-speed real-time signal processing system

Interface conversion and extension based on FPGA in high-spe...

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IET International Radar Conference 2015

作者： Hao Sun Fang Chen Shanqing Hu Xingming Li Yujie Sun State Key Laboratory of Explosion Science and Technology Beijing Institute of Technology Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Robfly Research Center Electromechanical college Beijing Institute of Technology

ISBN: (纸本)9781510822023

The radar systems have been so significant for both civil use and national defense, and adopting localized processor has become critical for a country, especially for the area related to the national defense. In this paper, we utilize localized BWDSP100 as the main processor, and implement a high-speed and real-time signal processing system by using BWDSP100 + FPGA framework. We use FPGA to realize the interface conversions and extensions, which enhance the reading bandwidth of the DDR2 interface from 235MB/s to 562MB/s. Besides that, we also integrate highspeed serial buses, such as PCIe interface of 243MB/s and SRIO interface of 344MB/s, for communications in or between boards. The system has been used in several projects, and works well.

关键词： BWDSP100 DSP+FPGA framework High-Speed real-time Signal processing Localizable DSP

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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： Wenjie Tie Chonglei Wang Fukun Bi Hao Shi Xu Zhang He Chen Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing 100081 China School of Electronic Information Engineering North China University of Technology Beijing 100144 China

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： CV model SAR image local characteristics oil spills segmentation speckles oil spill Radar polarimetry Rescue Synthetic aperture radar Specific absorption rate SAFETY ANALYSIS REPORTS CATACLYSMIC VARIABLE STARS images Speckle

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

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

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IET International Radar Conference 2015

作者： Yin Zhuang He Chen Fukun Bi Long Ma Beijing Key laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing 100081 China School of Electronic Information Engineering North China University of Technology Beijing 100144 China

ISBN: (纸本)9781510822023

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： feature field labelling field optical pyramid of saliency map potential parameter segmentation function

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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： Fuqiang Liu Fukun Bi Liang Chen Hang Wei Jing Chen Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing 100081 China School of Electronic Information Engineering North China University of Technology Beijing 100144 China

ISBN: (纸本)9781510822023

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： P-N learning airplane detection decision-trees video satellite

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Optimizing the capacitor placement based on 2D charge-delivery model of power delivery network

Optimizing the capacitor placement based on 2D charge-delive...

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Asia-Pacific Symposium on Electromagnetic Compatibility (APEMC)

作者： Xing-Ming Li Shan-Qing Hu Kye-Yak See Beijing Key Laboratory of Embedded Real-Time Information Proceessing Technology Beijing Institute of Technology China Nanyang Technological University Singapore

In high-speed electrical systems, power distribution network (PDN) with power ground planes (PGP) is widely used to gain effective high-speed decoupling. Rather than modelling such PDN from conventional steady-state analysis in the frequency domain, we propose its two-dimension (2-D) charge delivery model from charge delivery perspective in the time domain, which correlates better with the PDN real operations. With the model, by taking the synthesized effects from the interactions of the charge providers (such as voltage regulator module (VRM) and capacitors) into account, we propose two design rules to optimize the placement of the capacitors in preliminary PDN design.

关键词： Capacitors Manganese Inductance Resistance Integrated circuit modeling time-domain analysis

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

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

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IET International Radar Conference 2015

作者： Wei Liu Wei Wei Meng Zheng Yin Xiang Zegang Ding Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology No. 203 Research Institute of China Ordance Industries Xi'an Shaanxi 710065 China

ISBN: (纸本)9781510822023

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： Back-Projection Algorithm Synthetic aperture radar Near-field imaging Ground penetrating radar Synthetic aperture radar ground penetrating radar Projection algorithms near-field algorithms wall surface wall simulated data Rescue Specific absorption rate SAFETY ANALYSIS REPORTS Probes CONDENSATE STORAGE TANK

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Image recognition based on deep learning

Image recognition based on deep learning

引用

Chinese Automation Congress (CAC)

作者： Meiyin Wu Li Chen College of Computer Science and Technology Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China

Deep learning is a multilayer neural network learning algorithm which emerged in recent years. It has brought a new wave to machine learning, and making artificial intelligence and human-computer interaction advance with big strides. We applied deep learning to handwritten character recognition, and explored the two mainstream algorithm of deep learning: the Convolutional Neural Network (CNN) and the Deep Belief NetWork (DBN). We conduct the performance evaluation for CNN and DBN on the MNIST database and the real-world handwritten character database. The classification accuracy rate of CNN and DBN on the MNIST database is 99.28% and 98.12% respectively, and on the real-world handwritten character database is 92.91% and 91.66% respectively. The experiment results show that deep learning does have an excellent feature learning ability. It don't need to extract features manually. Deep learning can learn more nature features of the data.

关键词： Databases Feature extraction Machine learning Training Convolution Kernel Character recognition

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A new reconfigurable methodology to implement the shift-and-correlate (SAC) algorithm for real-time SAR autofocusing

A new reconfigurable methodology to implement the shift-and-...

引用

IET International Radar Conference 2015

作者： Bingyi Li Yizhuang Xie Xiaoning Liu Yi Deng Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing 100081 China ECE Department of Virginia Polytechnic Institute and State University Falls Church Virginia USA

ISBN: (纸本)9781510822023

Doppler Frequency Rate (FDR) is an essential parameter in the procedure of Synthetic Aperture Radar (SAR) processing. In this paper, we investigate an achievable autofocus algorithm, shift-and-correlate (SAC), and design the implementation of FDR estimation. The proposed method can dramatically improve the accuracy of imaging and reduce the time delay of the SAR imaging process. Depth-of-focus theory and linear fitting theory are discussed in this paper for decreasing the computation-consumption and the preserving precision. We verify the proposed method in a 16384*16384 SAR imaging process at 100 MHz system clock on a dedicated designed Field Programmable Gate Array (FPGA) tested. To testify the feasibility of the proposed method, we compared our run-out results with existing implementations using traditional DSP and MATLAB methods in terms of real-time performance and imaging quality.

关键词： FDR SAC algorithm. FPGA SAR imaging real-time

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