High Dynamic Range (HDR) images can be recovered from several Low (LDR) by existing Deep Neural Networks (DNNs) techniques. Despite the remarkable progress, DNN-based methods still generate ghosting artifacts when LDR have saturation and large motion, which hinders potential applications in real-world scenarios. To address this challenge, we formulate HDR deghosting problem as an image generation that leverages features diffusion model's condition, consisting of feature condition generator...

Synthetic aperture radar (SAR) polarimetry has demonstrated high efficiency in the detection of landslides vegetated mountainous areas. In such places, post-landslide soil layers appear to correspond typical surface scattering mechanism, which is significantly different from volume behaviour surrounding vegetation. However, a landslide complex surroundings various landforms, involving naked hillslopes, construction fields, bare farmlands, and other aspects, may not be accurately identified...

The extensive application of unmanned aerial vehicle (UAV) technology has increased academic interest in object detection algorithms for UAV images. Nevertheless, these present issues such as low accuracy, inadequate stability, and insufficient pre-training model utilization. Therefore, a high-quality method based on performance-improved baseline pretraining algorithm is proposed. To fully extract global local feature information, hybrid backbone the combination convolutional neural network...

Multispectral image reconstruction, which aims to recover a three-dimensional (3D) spatial–spectral signal from two-dimensional measurement in spectral camera based on ghost imaging via sparsity constraint (GISC), has been attracting much attention recently. However, faced with abundant 3D data, the reconstruction quality cannot meet visual requirements. Based robust data processing capability of deep learning, novel network called SSTU-Net3+ is constructed by improving U-Net3+ transformer...

A closed-form model of multiphoton quantum radar cross-section (QRCS) in the monostatic scenes is constructed for rectangular flat plates based on interference and uncertainty. The justified by comprehensive analysis parameters building process. Then, we use to quantitatively analyze main lobe enhancement effect QRCS, which means that more incident photons will enhance magnitude QRCS with other factors being same. Moreover, predict effects might also exist side close lobe. In addition,...

To examine the single-photon quantum radar cross-section of cylindrical surface and its specific advantages over classical cross-section, a photon wave function in which distance vectors causing interference are decomposed is introduced this study. A closed-form expression derived. The influences length curvature radius surfaces with different electrical sizes analyzed, expressions cross-sections compared each other. analyses simulation results show that determines number side lobes...

The closed-form expressions of a monostatic quantum radar cross-section (QRCS) for cuboid under illumination from single photon pulses have been successfully derived. An omnidirectional three-dimensional image the QRCS is given first time using derived expressions. simulation results are consistent with numerical calculations, which validate indicate that may new slumping effect different degrees near special visual angle. means when irradiation direction deviates vertical panel, in main...

In this study, we develop the calculation models for single and double scattering of dihedral corner reflectors obtained QRCS expression any structure. The simulation results demonstrate that center mainly exhibits characteristics, while edge characteristics. Dihedral reflector with acute angle has stronger intensity in edge. However, obtuse show an obvious peak, which approaches to bisector as increases. When detecting different size ratios, side a larger facet higher detection probability....

In this paper, a Fourier expression of the quantum radar cross section (QRCS) dihedral corner reflector is proposed, which avoids problems caused by atomic sampling on target-object surface and powerful tool for analyzing scattering characteristics reflector. We compare result proposed with that numerical calculations, have preliminarily verified its correctness. On basis, we discuss influence wavelength single photon pulses panel size QRCS in detail. Simulation results demonstrate from...

Abstract This study proposes a small sample recognition method for radar waveforms based on data enhancement of ambiguity function generative adversarial networks (AFGAN) to address the issue low rate and unbalanced class rate. First, concept efficient contour lines (AFECL) AFECL subject resolution constant are proposed in order effectively extract waveform features. Based this, AFGAN model is enhancement. Simulation experiments classified identified six types waveforms, which verifies...

Abstract Roadside unit (RSU) plays an important role in communication relay and data processing the Internet of Vehicles. The rational deployment roadside units directly affects operational efficiency system robustness This article proposes RSU scheme based on vehicular transmission demand. First, mobility model vehicles is mined through requirements to determine total delay vehicle tasks. includes two parts, namely, channel service delay. Second, optimization objective established, some...

The quantum radar cross sections (QRCS) for the targets are critical basis optimization designs of stealth structures and detection strategy. According to three-dimensional structure conical surface, one-dimensional Fourier expression multiphoton QRCS in a gradually illuminated area is established using two-dimensional QRCS. advantages derived computational complexity analyzed verified by simulations. influence radius, height, incident photon numbers on cone analyzed. results show that there...

Unmanned aerial vehicle (UAV) swarm confrontation jamming offers a cost-effective and long-range countermeasure against hostile swarms. Intelligent decision-making is key factor in ensuring its effectiveness. In response to the low-timeliness problem caused by linear programming current algorithms, this paper proposes an intelligent algorithm for UAV based on multi-agent actor–critic (M2AC) model. First, Markov games, mathematical model constructed transform scenario into symbolized problem....

Considering the series effects of high power microwave such as thermal fast electrons effect, collision frequency effect and ionization a unified (HPM) propagation model is presented in this paper. A air-breakdown for single-pulse HPM discussed detail breakdown threshold determined. It found that plasma induced by greater than previous value. The air increases with altitude increasing under same condition. When reaches minimum, reverse trend will appear. And minimum value be obtained an area...

To solve the problem of poor quality in ghost imaging via sparsity constraints (GISC) multispectral image reconstruction with correlation operations and compressed sensing algorithms under low sampling rate detection conditions, we propose an end-to-end deep-learning-based method. Based on U-Net, Res2Net-SE-Conv is employed instead convolutional blocks to extract local global features at a more fine-grained level while adaptively adjusting channel feature response. The two-dimensional...

Traditional PDF document detection technology usually builds a rule or feature library for specific vulnerabilities and therefore is only fit single targets lacks anti-detection ability. To address these shortcomings, we build double-layer model malicious documents based on an entropy method with multiple features. First, the target problem fusion of 222 features, including 130 basic features (such as objects, structure, content stream, metadata, etc.) 82 dangerous suspicious encoding...

Aiming to address the problem of unknown dynamic target trajectory prediction and search path optimization in unmanned aerial vehicle (UAV) swarm planning, this paper proposes a algorithm based on modified probability map (TPM). First, using TPM, proposed generates high-probability distribution region with directionality fit realizes an target. Then, distributed ant colony (ACO) artificial potential field (APF) are combined generate optimize UAV result return goal maximizing task execution...

When high power microwave is propagating in Rain, Elcctrommagnctic wave will be induced attenuation and depolarization for absorbency dispersion of nonspherical raindrops, with the hoist frequency, become worse . In paper CPA rainfall correlation area based on factual metrical condition advanced reckoned, inclination angle raindrops considered, which amend old formula calculating XPD, finally produce model propagation can avoid effect depolarization.