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The clinical decision support system can effectively solve the limitations of doctors' knowledge, reduce misdiagnosis and help enhance health. The traditional genetic data storage and analysis technology based on the stand-alone environment have limited scalability, which has been difficult to meet the computational requirements of rapid genetic data growth. In this paper, we propose a distributed...
Automatic extraction of residential area from SAR image is a difficult task due to its complexity. The traditional methods based on segmentation or classification are effective. In this article, we present a novel method based on conditional generative adversarial networks (CGANs) to extract regular residential area in rural and urban region. CGANs is applied to extend the scope of research from supervised...
Synthetic Aperture Radar (SAR) image is disturbed by multiplicative noise known as speckle. In this paper, based on the power of deep fully convolutional network, an encoding-decoding framework is introduced for multisource SAR image despeckling. The network contains a series of convolution and deconvolution layers, forming an end-to-end non-linear mapping between noise and clean SAR images. With...
Gaofen-3(GF-3) satellite is the first Chinese civil C-band synthetic aperture radar (SAR) satellite launched by China Academy of Space Technology (CAST). The objective of this paper is to investigate the capability of GF-3 simulated compact polarimetric SAR data of π/4 and CTLR mode for water change detection. A multi-class water change detection method based on complex Wishart distribution for CP...
This paper investigates three target parameters, i.e., target orientation angle, target ellipticity angle, and target phase angle in L band AL O S PAL SAR full polarimetric data collected over Beijing, China. In experiments, the three target parameters are analyzed via histograms, distributed image, and the number of negative power pixels in Freeman decomposition with various compensations. Experimental...
Space-borne differential InSAR (DInSAR) technique is an efficient tool for ground deformation monitoring due to its extensive coverage and millimeter level accuracy. With successful operation of Sentienel-1 and ALOS-2, there is increasing interest in exploiting the wide-swath mode of SAR for measuring surface topography and deformation over large area because of its wide coverage and rapid revisit...
Synthetic aperture radar (SAR) images are all-weather, all-time, and wide coverage, increasingly used for ship detection to ensure marine surveillance and transportation security. Currently, deep learning has achieved enormous success in object detection with the capability of representation learning. Combining single shot multiBox detector (SSD) with transfer learning is proposed to address ship...
Corn is one of the most essential economic crops globally and is an important part of China's agricultural industry. Corn growth monitoring is helpful for agricultural land reallocation and production evaluation. The compact polarimetric (CP) SAR could be a good tool for large area surveillance as it overcomes the width limitation of fully-polarimetric (FP) SAR, whereas still inherits abundant information...
Polarimetric Synthetic Aperture Radar (PolSAR) is an advanced sensor which can achieve echoes from the ship in four different polarization channels. Given a proper weighting vector of each channel in a combination process, the contrast between ships and background can be enhanced which is a huge benefit. In this paper, a new ship detector is proposed based on an automatic way to evaluate the right...
This work proposes a broadband microstrip patch antenna array with H-shaped aperture-coupled stacked rectangular patches is implemented to low-cost and low-loss organic substrate for flip chip chip scale (FCCSP) package for millimeter-wave antenna in package (AiP) application. The proposed antenna array is built on a low-cost and low-loss multilayer organic substrate for flip chip chip scale (FCCSP)...
Passive beam steering for optical wireless transmission based on wavelength tuning using a novel in-fiber diffraction grating featuring compactness, high diffraction efficiency and inherent fiber-compatibility, is proposed and experimentally demonstrated for the first time.
An external cavity laser based on double-ring mirror, which has optional output mode, has been presented. Double-crest curve and two single-crest curves are observed. They are corresponding to hybrid mode, TE and TM mode, respectively.
Chaos generated by a semiconductor laser subject to self-phase-modulated optical feedback is proposed, where the time-delay-signature is concealed and complexity is enhanced. Fascinatingly, the probability density distribution of its output intensity is close to symmetry.
The speed of the target can be estimated by the sound pressure cross-correlation of the line spectrum of the moving target at different time intervals. However, a slight deviation of the line spectrum has a significant influence on the estimated result. In this paper this phenomenon is analyzed from the theory, then the speed of the target is estimated when the line spectrum is biased. Experimental...
In this paper, an advanced joint jammer with deceptive jamming and blanket jamming is proposed for countering linear frequency modulated (LFM) radar. Multiple preceded and hysteretic false targets are produced by convolution operation and the blanket jamming is obtained by modulating the intercepted hostile radar signal according to pseudo-random sequences. The jamming algorithm is implemented on...
Reverberation is the main interference in active sonar detection, due to its special properties, reverberation suppression is a difficult problem in active sonar signal processing. In this paper, the method of reverberation suppression is studied, and a new method based on the normalization of the beam space data is proposed. The basic idea of this method is to normalize the time waveform of the beam...
Graphic user interface (GUI) is an integral part of many software applications. However, GUI testing remains a challenging task. The main problem is to generate a set of high-quality test cases, i.e., sequences of user events to cover the often large input space. Since manually crafting event sequences is labor-intensive and automated testing tools often have poor performance, we propose a new GUI...
It is a challenging task to detect people in crowded scene owing to the heavy occlusion and small object characteristic of crowed people. In this paper we propose a multi-layer regional-based convolutional network to address the tasks of people detection in the crowded scenes. Unlike the traditional methods, we propose an end-to-end framework that uses the convolutional network as feature extractor...
Assuming that the underlying asset is driven by a fractional Brownian motion with jumps, the interest rate and the default intensity are both following the Vasicek model, we derive the European vulnerable option pricing in fractional market. Then the martingale method and measure transformation are used to deduce the solution of it. On the other hand, the expression of jump process in the form of...
By using a virtual campus, users can not only immerse in the campus scene, but also interact with the system, which helps them understand the campus rapidly and deeply. But the virtual campus itself doesn't provide the relevant data information of the campus scene, which severely limits its application to a certain extent. To solve this problem, oriented to Beijing Institute of Petrochemical Technology...
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