Despite the remarkable progress in synthetic aperture radar automatic target recognition (SAR ATR), recent efforts have concentrated on detecting and classifying a specific category, e.g., vehicles, ships, airplanes, or buildings. One of fundamental limitations top-performing SAR ATR methods is that learning paradigm supervised, task-specific, limited-category, closed-world learning, which depends massive amounts accurately annotated samples are expensively labeled by expert analysts limited...

Video synthetic aperture radar (ViSAR) has attracted substantial attention in the moving target detection (MTD) field due to its ability continuously monitor changes area. In ViSAR, targets' shadows will not offset and defocus, which is widely used as a feature for MTD. However, are difficult distinguish from low scattering region background, cause more missing false alarms. Therefore, it worth investigating how enhance distinction between background. this study, we proposed Shadow...

A novel framework is proposed for mitigating azimuth ambiguities in spaceborne stripmap synthetic aperture radar (SAR) images. The SAR images are localized by using a local mean image, system parameters, and defined metric derived from antenna pattern. helps isolate targets lying at locations of ambiguities. mechanism restoration ambiguity regions selected on the basis size regions. compressive imaging technique employed to restore isolated (smaller interconnected pixels), whereas clustered...

Vehicle recognition is a fundamental problem in SAR image interpretation. However, robustly recognizing vehicle targets challenging task due to the large intraclass variations and small interclass variations. Additionally, lack of datasets further complicates task. Inspired by analysis target signature deep learning explainability, this paper proposes novel domain alignment framework named Hierarchical Disentanglement-Alignment Network (HDANet) achieve robustness under various operating...

Micro-range (m-R) signatures which are induced by micro-motion dynamics can be observed from range profiles, providing that the resolution of radar is high enough. For real scenarios, often mixed with macro-motion (translation). To extract signatures, it required to remove component. The widely employed alignment technique fails for rigid-body targets micro-motion, since relative distances between different scattering centres on a target varying and unable obtain stable reference profile....

Radar micro-motion signatures help to judge the target’s motion state and threat level, which plays a vital role in space situational awareness. Most of existing feature extraction methods derived from time-frequency (TF) representation cannot simultaneously satisfy requirements high resolution multiple component representation, has limitations on processing intersected multi-component signals. Meanwhile, as features extracted TF spectrograms only focus global characteristics targets ignore...

Micro-flow smoothing of fused silica surface with CO2 lasers were numerically simulated.Two types laser intensity distribution, namely Gaussian and top-hat, modeled on various morphology.In the models, tension Marangoni effect taken into account.The results show that acts synergically whereas dominates resultant in our simulated conditions.Top-hat is conducive to glass.In addition, surfaces both periodic random topography can be smoothed.Under 585.69W/cm 2 power density, best roughness (RMS)...

In recent years, the demand for target detection in Synthetic Aperture Radar (SAR) under low signal-to-noise ratio conditions is increasing. To improve ability to detect weak moving targets, this paper proposes a method based on quadratic rational kernel function sequential SAR images. This begins by presenting background information detection, followed simulation model images and specific process detecting those using trick. Finally, numerical experiments Images are carried out, results...

Aiming to the problem of traditional relay control system, such as high failure rate, low precision control, complex installation, slow system response, etc ,which caused by extensive uses intermediate relay, time counter and other devices in this paper provides a design an automatic which integrates positioning, feeding, cleaning equipment based on siemens S7-300 PLC instead carry out simulation analysis PLCSIM software, compared with material transport car model motion excellent verify...

Due to the time-varying and non-stationary characteristics of micro-motion signals, micro-Doppler spectrograms have been widely used for signature analysis, which plays an important role in civil military fields. However, background noise spectrogram severely restricts subsequent applications such as feature extraction parameter estimation. In this paper, we propose a novel signal enhancement method based on multi-scale pyramid structure convolutional autoencoder. Compared traditional...

The fine state of targets can be represented by the extracted micro-Doppler (m-D) components from radar echo. However, current methods do not consider specialty m-D components, and their performance with non-sinusoidal is poor. In this paper, a neural network applied to signal extraction for first time. Inspired semantic line detection in computer vision, transformed into network-based time–frequency curves problem. Specifically, novel dual-branch method proposed. According property...

Abstract Aimed at the micro-Doppler effect of air targets, a method is proposed based on time-frequency images and convolutional neural network (CNN) to identify helicopters, propellers jets. In this paper, are constructed by performing short-time Fourier transform aircraft target echo signal. Using obtained as input network, features three types targets extracted utilizing powerful image learning ability network. The results show that CNN has better recognition than support vector machine...

A proper conflict measure is the premise of handling between pieces evidence properly. All existing measures do not consider potential conflict, which cannot be neglected in many cases. After analyzing that was proposed qualitatively by Daniel [15], this paper first defines local quantitatively. The conflicting mass special case conflict. Then concept generalized proposed. sum all conflicts and masses. Generalized more comprehensive can among than two evidence. When there no it becomes same...

Having studied the synchronized multi-axis control servo system, some type automatic wire striping and terminal crimping system is developed in paper. In order to realize precise efficient control, PVT (Position-Velocity-Time) algorithm adopted. This allows user specify time interval of each axis’ motion segment, so working sequence can be easily established a tight way which augments processing speed guarantees stability. Besides, by specifying position value at point, positioning accuracy...

Metal films are deposited on polyimide by pulsed cathode arc. film wrinkles found SEM. These caused stress which is from inherent defect of materials. The soft substrate will deform with metal because there shear force between and surface. together discussed in detail.

Based on the sub-aperture field imaging system which microlens array located at front of primary focal plane and back main lens, firstly, schematic diagram each re-focus with different aperture information were given in two structures. Then, coordinate related planes was defined to study optical transformation mode among target point scene plane, image detector plane. In addition, discrete sampling radiation transmission path established. Moreover, determinants its position direction...