The integration of blockchain technology in the retail industry has been a growing area interest, yet traditional research often overlooked intricate relationship between user sentiment and loyalty. This study addresses this gap by exploring correlation acceptance, experience, loyalty within context blockchain-supported environments. Utilizing both quantitative qualitative methods, data from users was collected analysed using Natural Language Toolkit (NLTK) for analysis, while modified...

Hyperspectral image classification has attracted considerable interest in recent years. The previous methods are usually based on single-kernel or composite-kernel machines. In this paper, a novel regularization framework referred to least-squares support vector machine sum space (LS-SVM-SS) of reproducing kernel Hilbert (RKHS) is proposed for the hyperspectral images using spectral signatures local binary pattern features. method designed simultaneously approximate low- and high-frequency...

With a view to detecting foliage-obscured/ground-obscured targets on global scale, low frequency (i.e., very high (VHF)/ultrahigh (UHF) band) and wide bandwidth is trend in future spaceborne synthetic aperture radar (SAR) system design. However, due the dispersion of ionosphere, VHF/UHF SAR signals inevitably experience adverse effects. In contrast narrow at VHF/UHF, quadratic cubic ionospheric phase errors will introduce noticeable effects wide-bandwidth systems. Traditional evaluation...

Abstract The two types of wind observations, profiler and radar radial velocity, have been successfully assimilated into numerical weather prediction (NWP) systems. However, the added value data, especially from a densely deployed network, is unknown when together with Doppler velocity. In this article, combined assimilation strategies profilers along winds are compared within convective-scale data (DA) framework. strategy I, conventional observations to generate an intermediate analysis...

The utilization of Global Positioning System (GPS) for three-dimensional ionospheric electron density reconstruction, i.e., computerized tomography (CIT), provides significant importance in investigating the internal structure, variations, and disturbances within ionosphere. However, ill-posed problem caused by insufficient observational data or uneven distribution will rely heavily on selection initial values, which are typically derived from empirical models with low precision. Aiming at...

Abstract It is well known that for Earth observations, the spaceborne synthetic aperture radar (SAR) systems at L‐band can be seriously affected by ionosphere. Fortunately, destructive ionospheric information, total electron content (TEC), retrieved and removed model inversion from SAR echoes becomes a subject of interest research. Considering system noise channel phase imbalance, this paper focuses on accurate TEC retrieval Faraday rotation angle, which embedded in Advanced Land Observing...

The GPS-based computerized ionospheric tomography (CIT) has the capacity to reconstruct three-dimensional ionosphere (i.e., electron density distribution), making it one of most important techniques for observation. However, CIT technology is unable high vertical resolution due restricted viewing angle. Therefore, precision cannot be substantially enhanced with GPS only. Aiming at this issue, paper proposes a bi-iteration algorithm that integrates GPS, Phased Array L-band Synthetic Aperture...

Image matching is a fundamental computer vision problem. While learning-based methods achieve state-of-the-art performance on existing benchmarks, they generalize poorly to in-the-wild images. Such typically need train separate models for different scene types and are impractical when the type unknown in advance. One of underlying problems limited scalability data construction pipelines, which limits diversity standard image datasets. To address this problem, we propose GIM, self-training...

Due to the lack of training samples, hyperspectral classification often adopts minimum distance method based on spectral metrics. This paper proposes a novel multiresolution spectral‐angle‐based method, where band subsets will be selected simultaneously minimize average within‐class angle and maximize between‐class angle. The pairwise framework (PCF), which decomposes multiclass problem into two‐class problems. Based class separability criteria, original set bands is recursively decomposed...

Signals from spaceborne polarimetric synthetic aperture radar will suffer Faraday rotations when they propagate through the ionosphere, especially those at L-band or lower frequencies, such as signals Phased Array type Synthetic Aperture Radar (PALSAR). For this reason, rotation compensation should be considered. On other hand, could also retrieved distorted echoes. Moreover, combining with parameters and model of magnetic field, we derive total electron content (TEC) along signal path....

Abstract The spectral angle mapper (SAM) and maximum likelihood classification (MLC) are two traditional classifiers for hyperspectral classification. This paper presents methods to combine magnitude shape features, one each classifier. As the features complementary, combining both can improve accuracy. First, represented by radiance vector, whereas gradient vector. Then, in SAM, feature vector generates a class. generated angles added together obtain single similarity, which is used final...

Recently, the semisupervised learning for hyperspectral image classification (HIC) has attracted increasing attention. The previous methods were usually based on reproducing kernel Hilbert spaces with a single kernel. In this paper, we propose novel Laplacian least squares support vector machine in sum space (Lap-LSSVM-SS) HIC multiscale kernels, which can simultaneously deal high and low frequency components of target function small large scale respectively. Furthermore, due to its...

The airworthiness of aviation equipment is very important for ensuring the safety civil operations. This paper discusses and analyzes status quo management traceability domestic aircraft equipment, points out problems still to be solved. Through research on IoT technology blockchain in field Europe United States, Internet Things has been relatively mature, but application its infancy. Only concept stage. mainly studies how build a full supply chain model based combined with technology.

Improving the measurement accuracy is a necessary condition for sea surface altimetry using Global Navigation Satellite System Reflectometry (GNSS-R). The ionosphere and troposphere delay transmission of satellite signals, which directly affect measuring accuracy. influence atmospheric environment on GNSS-R differs from different platforms. By analyzing sorting out data airborne spaceborne platforms, this paper studies variation law signal in process point view mathematical geometry,...

In this article, we propose a total variation (TV) regularization approach for the reconstruction of super-resolution synthetic aperture radar (SAR) image based on gradient profile prior or other texture in maximum posteriori framework. We also design novel algorithm via split Bregman iteration with known degradation matrix, thereby enhancing resolution SAR image. The parameter adaptation TV is performed high-resolution (HR) at each step. Several evaluation indices are tested images...

Measuring the intensity and distribution of atmospheric optical turbulence at large-aperture astronomical telescope sites is crucial to optimizing correction for different layers. A real-time measurement in telescopes would be valuable parameter optimization adaptive optics (AO) systems, especially large field-of-view AO systems such as multi-conjugate (MCAO) ground-layer (GLAO). Based on GLAO system NVST FSO, a was deployed assess site’s distribution. This is, our knowledge, first world...

To investigate the alleviation potency of coal seam water infusion on and gas outburst, this paper focuses Qidong mine outburst seam, where accidents have occurred many times, obtains impact content prediction parameters by studying features desorption law under different rates. How affects was also researched through use a self-made simulation test system, relationship between intensity critical pressure studied. It can be concluded that with rise content, initial velocity diffusion, index...

In this paper, we describe a research project that autonomously localizes and recognizes non-standardized Malaysian's car plates using conventional Backpropagation algorithm (BPP) in combination with Ensemble Neural Network (ENN). We compared the results obtained simple Feed-Forward (FFNN). This aims to solve four main issues; (1) localization of has same colour vehicle colour, (2) detection recognition varying sizes, (3) different font types, (4) plates. The are from normal plate as they...

We propose an total variation (TV) regularization approach for the reconstruction of super-resolution synthetic aperture radar (SAR) image based on gradient profile prior. Then we design a algorithm via split Bregman iteration with known degradation matrix. The evaluation index is tested SAR images objective assessment performance reconstruction. Experimental results show that proposed Bregamn has good effect noise suppression, while able to effectively maintain content. Besides,...

The signal of spaceborne low-frequency full-polarization synthetic aperture radar (full-pol SAR) contains abundant ionospheric information. Phased Array L-band Synthetic Aperture Radar (PALSAR) working in the has been verified as an emerging sounding technology. Aiming for a future P-band SAR system, this paper investigates ability system one-dimensional and two-dimensional detection. First, considering different systematic error levels, total electron content (TEC) retrieval L/P-band is...

Abstract At high latitudes, the Sporadic‐E layer (Es layer) is a common phenomenon but still poorly understood due to sparse measurements and difficulty of conventional mechanisms operate. In this study, an interesting case polar cap Es first studied by using twin incoherent scatter radars (northward‐looking face Resolute Incoherent‐Scatter Radar Radar‐Canada), Canadian Advanced Digital Ionosonde, Magnetometer, all at Resolute, Canada. From several electron density profiles radars,...

The resource planning and scheduling technology of payload is a key to realize an automated control for earth observing satellite with limited resources on satellite, which implemented arrange the works states various payloads carry out missions by optimizing scheme resources. task difficult constraint optimization problem mutative requests constraints. Based analysis satellite's functions payload's constraints, proactive strategy based availability consumable replenishable in time-order...

Due to the dispersion nature of ionosphere, spaceborne polarimetric synthetic aperture radar (PolSAR) systems at L or lower frequencies will generally experience more severe effects in comparison above L-band. Correspondingly, according mechanism how ionosphere destroys scattering matrix PolSAR data, total electron content (TEC), an important input computerized ionospheric tomography (CIT), can be retrieved by model inversion. Thus, this paper presents a technique CIT based on data. The is...