@ARTICLE{Lewiński_Stanisław_Object-oriented_2006,
 author={Lewiński, Stanisław},
 number={No 10},
 pages={91-106},
 journal={Journal of Water and Land Development},
 howpublished={online},
 year={2006},
 publisher={Polish Academy of Sciences; Institute of Technology and Life Sciences - National Research Institute},
 abstract={This paper presents results of object-oriented classification of Landsat ETM+ satellite im-age conducted using eCognition software. The classified image was acquired on 7 May 2000. In this particular study, an area of 423 km2 within the borders of Legionowo Community near Warsaw is considered. Prior to classification, segmentation of the Landsat ETM+ image is performed using panchro-matic channel, fused multispectral and panchromatic data. The applied methods of classification en-abled the identification of 18 land cover and land use classes. After the classification, generalization and raster to vector conversion, verification and accuracy assessment are performed by means of vis-ual interpretation. Overall accuracy of the classification reached 94.6%. The verification and classifi-cation results are combined to form the final database. This is followed by comparing the object-oriented with traditional pixel-based classification. The latter is performed using the so-called hybrid classification based on both supervised and unsuper-vised classification approaches. The traditional pixel-based approach identified only 8 classes. Com-parison of the pixel-based classification with the database obtained using the object-oriented ap-proach revealed that the former reached 72% and 61% accuracy, according to the applied method.},
 type={Article},
 title={Object-oriented classification of Landsat ETM+ satellite image},
 URL={http://www.journals.pan.pl/Content/116973/PDF/%5B20834535%20-%20Journal%20of%20Water%20and%20Land%20Development%5D%20Object-oriented%20classification%20of%20Landsat%20ETM+%20satellite%20image.pdf},
 keywords={object-oriented classification, land use, Landsat ETM+},
}