InterSeg: a distributed image segmentation tool

Abstract

ABSTRACT:Motivated by the rapidly increase of remote sensing data over the last years, this paper presents a tool designed for distributed image segmentation. InterSeg is able to handle efficiently very large high-resolution images using scalable distributed segmentation methods over computer clusters. Through a graphic user interface, InterSeg hides the distributed processing complexity, allowing the user to easily perform distributed image segmentation on a cloud-computing environment. Experiments carried out with the tool attest its potential scalability and its capability to exploit distributed processing over many cluster nodes. Moreover, as an opensource solution, the software can be extended with different segmentation algorithms and methods.

Análise De Imagens Baseada Em Objetos Geográficos: Comparação De Regras De Classificação Da Cobertura Da Terra

“…A qualidade e acurácia dos resultados dependem significativamente deste procedimento (BAATZ; SCHÄPE, 2000). Apesar de existirem abordagens quantitativas para definição dos parâmetros ótimos de segmentação (JOHNSON et al, 2015;ZHANG et al, 2015;DRĂGUŢ et al, 2014;HAPP;STREET, 2012), a grande maioria das pesquisas ainda se baseia em procedimentos de tentativa e erro CASTILLA, 2008).…”