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Wyszukujesz frazę "classification accuracy assessment" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Mapy podstawowych form pokrycia i użytkowania terenu zlewni Raby powyżej Zbiornika Dobczyckiego - porównanie dokładności klasyfikacji pikselowej i obiektowej obrazów LANDSAT TM
Mapping of basic land-use/land cover types in upper Raba watershed - accuracy comparison of pixel-based and object-based approaches to LANDSAT TM images classification
Autorzy:
Badurska, M.
Drzewiecki, W.
Tokarczyk, P.
Powiązania:
https://bibliotekanauki.pl/articles/132383.pdf
Data publikacji:
2009
Wydawca:
Polskie Towarzystwo Geograficzne
Tematy:
Landsat TM
klasyfikacja pikselowa
klasyfikacja obiektowa
ocena
dokładność klasyfikacji
zlewnia Raby
pokrycie i użytkowanie terenu
pixel based classification
object-based classification
classification accuracy assessment
Raba watershed
land-use
land cover
Opis:
The research presented in the paper has been aimed at mapping the basic types of land-use in the upper Raba watershed (south Poland). The maps have been prepared for a study of the influence of land-use changes within the watershed on the sediment yields introduced into the reservoir. Because the erosion models used for sediment yields prediction need only to identify the main land-use / land cover classes (arable land, meadows and pastures, forests, waters, developed areas), the maps have been based on classification of middle-resolution satellite images (Landsat TM). In the research the results of traditional pixel-based classification were compared to the ones obtained in the object based approach. Six different Landsat TM images were classified. The methodology of both classification approaches have been described in the paper. The accuracy assessment of the classification results was based on their comparison with the land use types defined by the photo interpretation of colour composite images. The assessment was done by two operators. Each of them used different set of two hundred and fifty randomly generated sample points. In most cases the pixel-based approach resulted in higher overall accuracy. However, if overall accuracy confidence intervals are taken into consideration, none of the methods can be definitely recognised as a better one.
Źródło:
Teledetekcja Środowiska; 2009, 42; 15-21
1644-6380
Pojawia się w:
Teledetekcja Środowiska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Membership function - ARTMAP neural networks
Autorzy:
Sinčák, P.
Hric, M.
Vaščák, J.
Powiązania:
https://bibliotekanauki.pl/articles/1931570.pdf
Data publikacji:
2003
Wydawca:
Politechnika Gdańska
Tematy:
pattern recognition principles
classifier design
classification accuracy assessment
contingency tables
backpropagation neural networks
fuzzy BP neural networks
ART and ARTMAP neural networks
modular neural networks
neural networks
Opis:
The project deals with the application of computational intelligence (CI) tools for multispectral image classification. Pattern Recognition scheme is a global approach where the classification part is playing an important role to achieve the highest classification accuracy. Multispectral images are data mainly used in remote sensing and this kind of classification is very difficult to assess the accuracy of classification results. There is a feedback problem in adjusting the parts of pattern recognition scheme. Precise classification accuracy assessment is almost impossible to obtain, being an extremely laborious procedure. The paper presents simple neural networks for multispectral image classification, ARTMAP-like neural networks as more sophisticated tools for classification, and a modular approach to achieve the highest classification accuracy of multispectral images. There is a strong link to advances in computer technology, which gives much better conditions for modelling more sophisticated classifiers for multispectral images.
Źródło:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2003, 7, 1; 43-52
1428-6394
Pojawia się w:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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