Ship detection is an important application of global monitoring ocean environment and maritime traffic. Synthetic aperture radar (SAR) systems are active sensors offering unique good spatial resolution regardless weather or other conditions. It has been widely used for ship detection. An improved high SAR images based on the feature confidence proposed in this paper. The features include kernel density estimation, length-width ratio number target pixels. Targets with will be interpreted as...

Insulators are very important in the power system. The fault caused by insulator flashover is second place of fault. In this paper, surface dirt image detection technology using improved watershed segmentation introduced. experimental result shows that method can be applied to online monitoring system transmission

The high-resolution imaging of a highly squinted synthetic aperture radar remains difficult because the severe coupling between range and azimuth. "Squint minimization" compensates for walking in azimuth time domain, which efficiently increases orthogonality However, this "squint introduces space-variant phases, can be compensated by nonlinear chirp-scaling (ANCS) algorithm using large computational loads. In letter, an overlapped subaperture (AOSA) is proposed to compensate these phases...

Corn is one of the most essential economic crops globally and an important part China's agricultural industry. growth monitoring helpful for land reallocation production evaluation. The compact polarimetric (CP) SAR could be a good tool large area surveillance as it overcomes width limitation fully-polarimetric (FP) SAR, whereas still inherits abundant information. To testify how CP data behave in corn field mapping, four Radarsat-2 Fine Quad images were continuously acquired to simulate π/4...

Considering the variability of Synthetic Aperture Radar (SAR) imaging (different sensor, resolution) and complex condition sea surface, traditional single statistical model may be no longer a good choice to fit distribution actual clutter in SAR image. Based on characteristic Gamma which is suitable uniform area, G0 adaptive general homogeneous heterogeneous this paper established compound characteristics various types conditions, use moment estimation improve computational efficiency as...

Target discrimination is the key step of automatic target detection in synthetic aperture radar (SAR) images. Aiming at issue aircraft high resolution SAR images, a novel method proposed with using texture features. First all gray level co-occurrence matrix used to generate eight features: mean, variance, deficit moment, inertia entropy, angular second relevance and non-similarity then forming feature vector. Differing common extracting holistic features image represent target, each pixel...

In this paper a technique for detecting the daily fatigue using characteristics of local facial image is discussed. To reduce influence environment illumination and retain more details features, images are preprocessed by method color consistent area correction. The texture features derived from gray level co-occurrence matrix two kinds space, reliability universality system improved difference algorithm. Then error backward propagation algorithm employed to form complete detection Finally,...

In this article, the problem of wideband radar target detection with range walking in compound Gaussian clutter without secondary data is addressed. The return represented as a canonical linear model multirank subspace, and modeled two-dimensional random process separable complex inverse Wishart distributed covariance matrices pulse range-frequency domains. generalized likelihood ratio test, Wald Rao test based on above models are designed under Bayesian framework. Laplace approximation...

Motivated by the institutional features of China's monetary policy, we construct an open economy DSGE model with a hybrid policy rule that allows for multiple equilibria, aiming at identifying most data-supported China and exploring source business cycles. In theory, our study demonstrates can influence boundary between determinacy indeterminacy. Using quarterly data from 1996Q2 to 2019Q4, empirically estimate compare 6 models. The results reveal indeterminacy, comprising equilibria displays...

This paper provides a quantitative assessment of general equilibrium economy with non-Walrasian labour markets. Indeterminacy in the does not require production externalities or increasing returns but it rests on replacing supply curve by no-shirking condition efficiency-wage The model is estimated U.S. data via full information Bayesian methods. shirking capable matching several stylized facts aggregate and market. Data favour version artificial that characterized determinacy.

This study proposes a three-dimensional (3-D) absolute attitude reconstruction algorithm of rigid body target based on multi-station high-resolution range profile (HRRP) sequences. The existing 3-D algorithms rely the motion form and reconstructed is inaccurate due to mismatch micro-motion model. In this study, coordinates scattering centers are first calculated from HRRP sequences each radar using factorization method. Then, data associated with center coordinates, estimated by relationship...

In this study, the problem of transmitted waveform design for a multiple-input-multiple-output (MIMO) radar in heterogeneous clutter environment is considered. Under Bayesian framework, used to maximize generalized likelihood ratio given false alarm probability. addition, proposed nonconvex under constant modulus constraint. Hence, alternating direction method multipliers-based and Broyden-Fletcher-Goldfarb-Shanno are adopted solve optimization problem. Finally, suppression performance...

The rock and soil aggregate (RSA) is a special inhomogeneous multiphase geomaterial. It crucial for stability of engineering by study RSA mesodamage characteristic. This paper aims at investigating the porosity evolution characteristics X-ray computed tomography (CT) under uniaxial compressive loading. images were used to extract defects specimen different In this paper, we proposed an improved Ostu method calibrate beam hardening phenomenon which caused X-ray. Also, based on method, outline...

In this study, a transmit waveform design method based on spatial–temporal optimisation for multiple‐input multiple‐output (MIMO) radar is proposed. The goal not only to the waveforms beampattern matching, but also minimise autocorrelation sidelobes of spatial synthesis signals interested direction. Especially, synthesise constant envelope directly, an improved sequential convex algorithm proposed tackle non‐convex problem in optimisation. Then are reduced by using steepest descent temporal...

Abstract A micro‐Doppler frequency estimation and association algorithm of the space target based on time‐varying autoregressive (TVAR) model is proposed herein. The calculation time existing algorithms grows significantly with problem size, frequencies different scattering centres are associated incorrectly where intersect. echo modelled by TVAR model, then coefficients instantaneous estimated through fast sparse Bayes learning (SBL) algorithm, finally, in frequency–frequency change rate...

Due to the incomplete decision information of mining projects, a new interval evaluation method basing on D-S evidence theory is applied comprehensive mineral resources. Index dates system are assigned by basic probability function . The value related weights and membership grade for indexes .The Bays estimated through combination computed in making. Application assessment right transaction presented demonstrate effectiveness method.

We propose a model of business cycles for an economy that is characterized by involuntary unemployment and being dependent on energy imports. The presence both factors increases aggregate volatility in well-defined way: even the absence increasing returns to scale or high labor supply elasticities, realistic cost shares imported generate equilibrium indeterminacy making potentially driven sunspots. estimate find model's specification with has marginal data density significantly higher than...

Abstract This paper proposes a linear quadratic approximation approach to dynamic nonlinear rationally inattentive control problems with multiple states and controls. An efficient toolbox implement this is provided. Applying five economic examples demonstrates that rational inattention can help explain the comovement puzzle in macroeconomics literature.