A Boosted Genetic Fuzzy Classifier for land cover classification of remote sensing imagery

被引:34
作者
Stavrakoudis, D. G. [1 ]
Theocharis, J. B. [1 ]
Zalidis, G. C. [2 ]
机构
[1] Aristotle Univ Thessaloniki, Dept Elect & Comp Engn, Div Elect & Comp Eng, Thessaloniki 54124, Greece
[2] Aristotle Univ Thessaloniki, Fac Agron, Lab Appl Soil Sci, Thessaloniki 54124, Greece
关键词
AdaBoost; Genetic fuzzy rule-based classification systems (GFRBCS); Local feature selection; Textural and spatial features; Multispectral image classification; RULE-BASED CLASSIFICATION; EVOLUTIONARY ALGORITHMS; NEURAL-NETWORKS; SYSTEMS; GA; INDUCTION; FRAMEWORK; SELECTION;
D O I
10.1016/j.isprsjprs.2011.01.010
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
A Boosted Genetic Fuzzy Classifier (BGFC) is proposed in this paper, for land cover classification from multispectral images. The model comprises a set of fuzzy classification rules, which resemble the reasoning employed by humans. Fuzzy rules are generated in an iterative fashion, incrementally covering subspaces of the feature space, as directed by a boosting algorithm. Each rule is able to select the required features, further improving the interpretability of the obtained model. After the rule generation stage, a genetic tuning stage is employed, aiming at improving the cooperation among the fuzzy rules, thus increasing the classification performance attained after the first stage. The BGFC is tested using an IKONOS multispectral VHR image, in a lake-wetland ecosystem of international importance. For effective classification, we consider advanced feature sets, containing spectral and textural feature types. Comparative results with well-known classifiers, commonly employed in remote sensing tasks, indicate that the proposed system is able to handle multi-dimensional feature spaces more efficiently, effectively exploiting information from different feature sources. (C) 2011 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:529 / 544
页数:16
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