A Novel Fuzzy Probabilistic Clustering Algorithm for Satellite Image Segmentation Mantilla, L es_PE Yari, Y es_PE Meza-Lovon, G es_PE 2024-05-30T23:13:38Z 2024-05-30T23:13:38Z 2018
dc.description The authors would like to thank Consejo Nacional de Ciencia, Tecnolog´ıa e Innovacion Tecnol ´ ogica ´ , Peru (CONCYTEC), Fondo Nacional de Desarrollo Cient´ıfico y Tecnologico ´ , Peru (FONDECYT) for the financial support; and Autoridad Nacional del Agua, Peru (ANA) for providing the satellite images.
dc.description.abstract Satellite Image Segmentation is a task widely investigate since we can extract and analyze information of an image. In satellite image, the information of each one of the bands must be considered. We propose a new method based on the New Fuzzy Centroid Model and includes spatial information. Furthermore, we use the occurrence of each intensity value in a particular band and the Gaussian function in order to compute the degree of contribution of pixels in the neighborhood. By incorporating spatial information (global and local), we improve the clustering process and consequently, a better segmentation is obtained. This paper reports preliminary results of experiments that show that the proposed algorithm performs accurately on a real data set. For the evaluation of the algorithm, different cluster validity indexes are employed.
dc.description.sponsorship Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concytec
dc.identifier.isi 451248900191
dc.language.iso eng
dc.publisher 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
dc.rights info:eu-repo/semantics/openAccess
dc.subject pattern clustering
dc.subject fuzzy set theory es_PE
dc.subject Gaussian processes es_PE
dc.subject image segmentation es_PE
dc.title A Novel Fuzzy Probabilistic Clustering Algorithm for Satellite Image Segmentation
dc.type info:eu-repo/semantics/conferenceObject