Real-Time Joint Filtering of Gravity and Gravity Gradient Data Based on Improved Kalman Filter

Yuan, Yuan; Qin, Gang; Li, Da; Zhong, Min; Shen, Yingchun; Ouyang, Yongzhong

doi:10.1109/tgrs.2024.3452038

IEEE Trans. Geosci. Remote Sensing

2024

DOI: 10.1109/tgrs.2024.3452038

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Real-Time Joint Filtering of Gravity and Gravity Gradient Data Based on Improved Kalman Filter

Yuan Yuan,

Gang Qin,

Da Li

et al.

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Cited by 3 publications

References 40 publications

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A new efficient image processing circuit based on a nano-scale median filter and quantum-dot cellular automata

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A new efficient image processing circuit based on a nano-scale median filter and quantum-dot cellular automata

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International Journal of General Systems

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Miniaturized Arrow-Shaped Flexible Filter-Embedded Antenna for Industrial and Medical Applications

Hussain,

Abbas,

Awan

et al. 2024

Applied Sciences

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This paper presents the design and characterization of a coplanar waveguide (CPW) fed, low-profile, and flexible arrow-shaped filtenna for ISM band applications at 2.45 GHz. The antenna design involves an innovative approach incorporating etching slots to achieve miniaturization by 34%, contrasting with a traditional quadrilateral-shaped antenna. After the attainment of desired miniaturization, the unwanted harmonics are also mitigated by deploying simple filtering methodology. A perpendicular rectangular stub is strategically introduced to the feedline, effectively minimizing harmonics across a broad frequency range of 3.3–11.0 GHz. Through simulations and measurements, the results indicate that the antenna’s operational band spans from 2.276 to 2.75 GHz, encompassing the entire ISM band (2.4–2.5 GHz). Notably, the antenna demonstrates promising radiation characteristics, including omnidirectional gain of approximately 2.2 dBi and a radiation efficiency exceeding 95%. With a compact overall size of 0.24λ × 0.20λ × 0.0005λ (where λ is the free-space wavelength at 2.45 GHz), coupled with wide harmonic rejection property, the proposed arrow-shaped flitenna emerges as a compelling candidate for ISM band applications.

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Geochemical Anomaly Detection and Pattern Recognition: A Combined Study of the Apriori Algorithm, Principal Component Analysis, and Spectral Clustering

Hajihosseinlou,

Maghsoudi,

Ghezelbash

2024

Minerals

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This study demonstrates the effectiveness of combining Principal Component Analysis (PCA) and the Apriori algorithm for feature selection, alongside Spectral clustering, to detect geochemical anomalies in Mississippi Valley-Type (MVT) Pb-Zn deposits in western Iran. First, PCA and Apriori enabled the identification of both syngenetic and epigenetic components, which helped in recognizing elements associated with mineralization. These elements were then modeled using Spectral clustering to detect geochemical anomalies. Unlike traditional methods like k-means, Spectral clustering does not require spherical clusters and is adept at identifying clusters of arbitrary shapes. This made it particularly suitable for analyzing the irregular shapes of geochemical anomalies in the study area. By incorporating Spectral clustering, the method effectively separated geochemical groups, revealing the underlying structure of the data. This was crucial for identifying anomalous geochemical zones and delineating areas with a high potential for Pb-Zn mineralization. The performance of the Spectral clustering algorithm was thoroughly evaluated using the Silhouette Score, the Davies–Bouldin Index, and Dunn Index. Subsampling was employed to assess the algorithm’s stability, providing a comprehensive evaluation of its effectiveness in identifying geochemical anomalies and mapping mineralization potential.

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Real-Time Joint Filtering of Gravity and Gravity Gradient Data Based on Improved Kalman Filter

Cited by 3 publications

References 40 publications

A new efficient image processing circuit based on a nano-scale median filter and quantum-dot cellular automata

A new efficient image processing circuit based on a nano-scale median filter and quantum-dot cellular automata

Miniaturized Arrow-Shaped Flexible Filter-Embedded Antenna for Industrial and Medical Applications

Geochemical Anomaly Detection and Pattern Recognition: A Combined Study of the Apriori Algorithm, Principal Component Analysis, and Spectral Clustering

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