The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
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...
Medical internet of things is the emerging information network technology, according to development status of medical wireless application and internet development, this paper proposes establishing the unified platform of medical internet of things combining with characteristics of medical informatization, and discusses fundamental framework, detailed design, constitution and coverage model in detail...
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...
Low-rank and sparse representation based methods have attracted wide attention in background subtraction and moving object detection, where moving objects in the scene are modeled as pixel-wise sparse outliers. Since in real scenarios moving objects are also structurally sparse, recently researchers have attempted to extract moving objects using structured sparse outliers. Although existing methods...
Convolutional neural networks showed the ability in stereo matching cost learning. Recent approaches learned parameters from public datasets that have ground truth disparity maps. Due to the difficulty of labeling ground truth depth, usable data for system training is rather limited, making it difficult to apply the system to real applications. In this paper, we present a framework for learning stereo...
By optically trapping yeasts, the relationship between trapping efficiencies of a fiber optical tweezer and the etched lengths of fiber microlens is studied. The fiber optical tweezers are successfully implemented for trapping yeasts at the wavelength of 650 nm. The optimal trapping efficiency of 6.9% occurs when the etched length is about 1.5 mm.
A switching circuit system based on FPGA is designed and implemented in this paper to provide high-frequency adjustable-phase voltages for the ultrasonic motor. For the existing drive systems of the ultrasonic motor, the bus voltage is usually 12V DC or 24V DC supporting by an external adapter, the driving voltages of the ultrasonic motor, however, are required to be boosted yet. Then, the step-up...
A switching circuit system based on FPGA is designed and implemented in this paper to provide high- frequency adjustable-phase voltages for the ultrasonic motor. For the existing drive systems of the ultrasonic motor, the bus voltage is usually 12 V DC or 24 V DC supporting by an external adapter, the driving voltages of the ultrasonic motor, however, are required to be boosted yet. Then, the step-up...
In this study, elastic properties of intermetallic compound Cu3Sn were calculated by first-principle based on density functional theory (DFT). To exchange correlation energy, generalized gradient approximation (GGA) function was used. Shear modulus, bulk modulus, elastic modulus and lame modulus for Cu3Sn were calculated and applied to evaluate elastic properties of Cu3Sn under hydrostatic pressures...
The scope of this paper is to study on corrosion failure mechanism of ceramic optocoupler under thermal stress. With this regard, a failure case for current transfer ratio (CTR) deviates is analyzed. Scanning electron microscopy (SEM) and energy dispersive X-ray microanalysis (EDX) are used to detect the failure position. The SEM study revealed that the passivation layer is the critical factor of...
In this paper, the structure and characteristics of high-speed optocouplers were analyzed. The signal propagation speed of high-speed optocoupler is fast due to Schottky clamped transistors. As the characteristic parameter, propagation delay time (PDT) was chosen to evaluate storage life of high-speed optocouplers. Then, failure modes of high-speed optocoupler during storage were surveyed. Degradation...
The detection and extraction of buildings using high resolution synthetic aperture radar (SAR) images has been the topic of recent discussions. In this paper, a framework for building extraction and classification is proposed. Buildings are classified into three kinds: commercial architecture, residential building and Industrial building, by the fusion of structure features (point-like, linear and...
This paper displays a case study which accomplishes crop classification of simulated compact polarimetric (CP) SAR and fully polarimetric (FP) SAR images with Random Forest. Since the potential of CP SAR in classification has been illustrated by various researches, we intend to find out which of the polarimetric features are more superior in crop classification, through the importance rank of Random...
Ship classification with spaceborne high resolution synthetic aperture radar (SAR) has wide applications in maritime traffic monitoring, fishing law-enforcement operation, marine security, etc. Deep learning, which has the ability of learning features itself, is successfully used in computer vision and artificial intelligence, and introduced into remote sensing field in recent years. In this study,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.