文章基本信息

标题：OBJECT-BASED ANALYSIS FOR URBAN LAND COVER MAPPING USING THE INTERIMAGE AND THE SIPINA FREE SOFTWARE PACKAGES
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作者：Rodrigo Rodrigues Antunes ; Edilson de Souza Bias ; Gilson Alexandre Ostwald Pedro da Costa 等
期刊名称：Boletim de Ciências Geodésicas
印刷版ISSN：1982-2170
出版年度：2018
卷号：24
期号：1
语种：English
出版社：Universidade Federal do Paraná-UFPR
摘要：In this work we introduce an object-based method, applied to urban land cover mapping. The method is implemented with two open-source tools: SIPINA, a data mining software package; and InterIMAGE, an object-based image analysis system. Initially, segmentation, feature extraction and sample selection procedures are performed with InterIMAGE. In order to reduce the time and subjectivity involved to develop the decision rules in InterIMAGE, a data mining step is then carried out with SIPINA. In sequence, the decision trees delivered by SIPINA are analysed and encoded into InterIMAGE decision rules for the final classification step. Experiments were conducted using a subset of a GeoEye image, acquired in January 01, 2013, covering the urban portion of the municipality of Goianésia, Brazil. Five decision tree induction algorithms, available in SIPINA, were tested: ID3, C45, GID3, Assistant86 and CHAID. The TAU and Kappa coefficients were used to evaluate the results. The TAU values obtained were in the range of 0.66 and 0.70, while those for Kappa varied from 0.65 to 0.69.
关键词：Object-Based Image Analysis; Data Mining; InterIMAGE; SIPINA;Object-Based Image Analysis; Data Mining; InterIMAGE; SIPINA.