To address the performance degradation of traditional data association algorithms caused by unknown target motion models, environmental interference, and strong maneuvering behaviors in complex dynamic scenarios, this paper proposes an innovative fusion algorithm that integrates reinforcement learning deep learning. By constructing a policy network combines Long Short-Term Memory (LSTM) memory units decision-making, prediction model for "measurement-target" probability is established....

Networked multiple sensors are used to solve the problem of maneuvering target tracking. To avoid linearization nonlinear dynamic functions, and obtain more accurate estimates for targets, a novel adaptive information-weighted consensus filter tracking is proposed. The pseudo measurement matrix computed with unscented transform utilize information form measurements, which necessary iterations. improve accuracy get unified estimation in each sensor node across entire network, current...

Abstract. Building extraction from high resolution remote sensing images is a hot research topic in the field of photogrammetry and sensing. However, diversity complexity buildings make building methods still face challenges terms accuracy, efficiency, so on. In this study, new framework based on MBI combined with image segmentation techniques, spectral constraint, shadow shape constraint proposed. order to verify proposed method, worldview-2, GF-2, GF-1 covered Xiamen Software Park were...

Owing to its high-fault tolerance and scalability, the consensus-based paradigm has attracted immense popularity for distributed state estimation. If a target is neither observed by certain node nor neighbors, this naive about target. Some existing algorithms have considered presence of nodes, but it takes sufficient consensus iterations these achieve satisfactory performance. In practical applications, because constrained energy communication resources, only limited number are allowed thus...

Considering the convergence rate is a very important issue as distributed sensors networks usually consist of low-powered wireless devices and speeding up consensus also to reduce number messages exchanged among neighbors, new adaptive method for weight assignment communication links between sensor nodes proposed based on dynamic network topology. Based method, an improved Kalman filter (KCF) named IKCF tailored in this letter state estimation with cluster structure. Furthermore, experiments...

This paper deals with the problem of maneuvering target tracking networked multiple sensors. To avoid linearization nonlinear function, and obtain more accurate estimate for target, a novel distributed method based on interacting model unscented information consensus protocol is proposed. The pseudo measurement matrix computed according to transform, which form measurements calculated local updated. unify estimation in different sensors improve accuracy throughout whole network, weighted...

To settle the problem of distributed nonlinear state estimation in sensor networks with naive nodes, a novel high-degree cubature information filter embedded hybrid consensus (DHCIF) is proposed. The multi-dimensional Gaussian weighted integrals involved filtering process are approximated by fifth-degree rule. A scheme, consideration for predicted measurement errors, applied to compute contribution. With parallel performed on both prior and information, proposed DHCIF derived. stability...

To handle nonlinear filtering problems with networked sensors in a distributed manner, novel hybrid consensus–based square-root cubature quadrature information filter is proposed. The proposed exploits fifth-order spherical simplex-radial rule to tackle system nonlinearities and incorporates measurement update strategy into the consensus framework, which takes predicted error account hence produces more accurate estimates. In addition, inherits complementary positive features of both on...

Abstract. Land surface temperature (LST) is an essential parameter in the physics of land processes. The spatiotemporal variations LST on Fujian province were studied using AQUA Moderate Resolution Imaging Spectroradiometer data. Considering data gaps remotely sensed products caused by cloud contamination, Savitzky-Golay (S-G) filter method was used to eliminate influence cover and describe periodical signals LST. Observed air from 27 weather stations employed evaluate fitting performance...

Constant false alarm rate (CFAR) is a traditional method for radar target detection. A lot of relevant researches assume that the sea clutter obeys K distribution. However, with improvement resolution and increase grazing angle, distribution gradually deviates from Although good fitting results can be obtained through more complicated models such as KA distribution, K+Rayleigh so on, computational efficiency detection algorithm reduced obviously. For complexities are mainly caused by...

A multi-UAV and multi-target assignment method based on observation equalization optimization is proposed for fixed-wing UAV standoff tracking with heterogeneous sensors. The mechanical circle scanning sensor changed to observe only partial targets by sector improve the performance. novel performance function balance current prior FIM each target. Then, configuration observability of sensors are considered divide groups UAVs targets. Finally, solved linear programming replanning online in...

This paper studies the problem of distributed nonlinear state estimation in sensor networks. To solve problems nonlinearity system model, redundancy caused by consensus iterations, and naivety resulting from limited field view (FOV) sensors, a novel square-root version filter based on information (SRDICF) is proposed. It developed weighted protocol with embedded decomposition matrices. The cubature rule chosen to approximate Gaussian integral involved Bayesian filtering paradigm. Then...

In this note, the problem of distributed nonlinear state estimation with networked sensors is considered. Based on statistical linear regression, a more suitable strategy to compute measurement information contribution fifth-degree cubature filter presented. new for update and hybrid consensus both measurements, novel consensus-based high-degree (HCHCIF) proposed. The effectiveness superiority proposed HCHCIF validated by tracing maneuvering target in sparse sensor network naive nodes....

Abstract This paper addresses the issue of target detection in Gaussian noise for wideband radar systems. Through use parsimonious singularity expansion method (SEM) representation late-time transient return and Bayesian theory, an aspect independent based on a generalized likelihood ratio test (GLRT) is developed. The resulting decision rule has non-central Χ2 distribution which used to analyze performance GLRT terms probability (PD) false alarm (PF) . Results illustrating two different...

Multimodal aerial image has gradually become an important data support for resource exploration and urban planning. When multiple sensor images are used to extract building footprints, it is often difficult obtain modes at the same time problem of information redundancy leads bad performance. In this paper, based on full convolution segmentation network, a footprint extraction model Transformer proposed. model, self-attention mechanism in make use multi-modal joint training, fusion performed...