The Application of Fuzzy Clustering to Satellite Images Data

Sofyan, Hizir; Said, Muhammad; Affan, Muzailin; Bawahidi, Khaled

doi:10.1007/978-3-540-32691-5_19

Cited by 2 publications

(1 citation statement)

References 8 publications

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“…1.2 GRASS Open Source GIS Tool GRASS was created by OSGeo as one of its initial products developed in 2006 as open-source geospatial software (Sofyan et al, 2005;OSGeo, 2021). Today it is found to be an invaluable GIS instrument.…”

Section: Propagation Loss Predictionmentioning

confidence: 99%

Performance Analysis of Radio Prediction Tools for the Determination of Diffraction Losses and Under-Coverage in some Mountainous Topologies of Northern Nigeria.

Udoeno

Mopta

Oduobuk

et al. 2022

Preprint

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Signal under-coverage due to diffraction losses, is fundamentally considered to be responsible for the hues and cries of communities residing behind mountainous topologies in Taraba and Niger State. Performance analyses of these radio tools are rudimentary for technical radio dimensioning and optimization. The epicenter of this study is to predict the depth of diffraction losses and under-coverage in mountainous areas of the study. To achieve this, an Open Source Geographical Resources Analysis Support System (GRASS) and other conventional diffraction models were employed. The result indicated that the transmitted radio signals were received via the mechanism of diffraction, as the mountain was found to obstruct the signal line-of-sight (LOS) and the ensuing effective ellipsoids of the Fresnel Zones in the analysis. Consequently, it was apparent that there was deep under-coverage in all the radio cells of the study location, as illustrated in the maps created with ArcGIS. The depth of under-coverage in Taraba State was relatively more severe than Niger State. Empirically, the skip distances of the shadow zone cast by the mountains for both States were 35.8km and 29.92km respectively. However, for ease of prediction in analogous topology and to cater to the discrepancies of the conventional models of diffraction used in this work, linear regression models were fitted to predict the measure of received signal strength (RSS) level and diffraction losses. In evaluating the validity of these models, it was realized that the measured and the calculated values were incongruent.

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Section: Propagation Loss Predictionmentioning

confidence: 99%

Performance Analysis of Radio Prediction Tools for the Determination of Diffraction Losses and Under-Coverage in some Mountainous Topologies of Northern Nigeria.

Udoeno

Mopta

Oduobuk

et al. 2022

Preprint

View full text Add to dashboard Cite

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A new FPCA-based fast segmentation method for color images

Abodpour

Kasaei

Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology, 2004.

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Fuzzy objective function-based clustering methods are proved to be fast tools for classification and segmentation purposes. Unfortunately, most of the available fuzzy clustering methods are using the spherical or ellipsoidal distances, which are proved to result in spurious clusters, when working on color data. In this paper, a general case of clustering is discussed and a general method is proposed and its convergence is proved. Also, it is proved that the FCM and the FCV methods are special cases of the proposed method. Based on the general method, a special case for color image processing is proposed. The clustering method is based on a likelihood measure, and is proved to outperform the Euclidean and the Mahalanobis distances, in color fields. Based on the proposed color clustering method, a new fast fuzzy segmentation method is proposed and is proved to be highly efficient. Comparison of the results with the FCM, proves the superiority of the proposed segmentation method.

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The Application of Fuzzy Clustering to Satellite Images Data

Cited by 2 publications

References 8 publications

Performance Analysis of Radio Prediction Tools for the Determination of Diffraction Losses and Under-Coverage in some Mountainous Topologies of Northern Nigeria.

Performance Analysis of Radio Prediction Tools for the Determination of Diffraction Losses and Under-Coverage in some Mountainous Topologies of Northern Nigeria.

A new FPCA-based fast segmentation method for color images

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