Identifying Pixels Classified Uncertainties ckMeansImage Algorithm

Autor:	Rogério Rodrigues de Vargas, Cristiano Galafassi, Ricardo Freddo, Alexandre Russini, Sidnei Luís Bohn Gass, Benjamin Bedregal
Rok vydání:	2018
Předmět:	Pixel Flood myth Computer science Cluster analysis Algorithm Fuzzy logic Flooding (computer networking)
Zdroj:	Communications in Computer and Information Science ISBN: 9783319914787 IPMU (3)
DOI:	10.1007/978-3-319-91479-4_36
Popis:	Floods may occur in rivers when the flow rate exceeds the capacity of the river channel, particularly at bends or meanders in the waterway. Floods often cause damage to homes and businesses becoming the most prevalent type of disaster in the world and the one with the highest number of events, causing the greatest economic losses, affecting a large number of people. This paper has the objective of mapping and identifying the flooding areas of a selected region in the municipality of Itaqui-RS using remote sensing. In order to do it, we used the Fuzzy ckMeansImage Algorithm to group and to classify the image into similarity clusters. The methodology consists in processing satellite images before and after the flooding occurs. Finally, we discuss the processed images and present the flooded area.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1ecd833bf198196df4f61d4b4f927a6b https://doi.org/10.1007/978-3-319-91479-4_36 Zobrazit plný text záznamu