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Communication Dans Un Congrès Année : 2020

Information content of statistical texture features in the problem of recognition and mapping of natural and man-made objects from space images

Anton Sokolov
Sergey Zotov
  • Fonction : Auteur
Timophey Kondranin
  • Fonction : Auteur
Petr Melnik
  • Fonction : Auteur

Résumé

Statistical texture features are frequently used for the thematic processing of very high spatial resolution satellite images. The assessment of information content of 1st and 2nd order statistics is carried out based on processing WorldView-2 images of test areas located on the territory of the Savvatyevskoe forestry and employing the corresponding ground-based data. The comparison of the accuracy and computational efficiency of traditional and ensemble classifiers in the problem of pattern recognition of various natural and man-made objects reveals the high performance of the error correcting output codes method. The estimates obtained in this study demonstrate the advantage of using ensemble classification and 2nd order statistical texture features.
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Origine : Publication financée par une institution
Licence : CC BY - Paternité

Dates et versions

hal-04294920 , version 1 (22-11-2023)

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Citer

Egor Dmitriev, Anton Sokolov, Sergey Zotov, Timophey Kondranin, Petr Melnik. Information content of statistical texture features in the problem of recognition and mapping of natural and man-made objects from space images. Regional Problems of Earth Remote Sensing, RPERS 2020, Sep 2020, Krasnoyarsk, Russia. pp.02013, ⟨10.1051/e3sconf/202022302013⟩. ⟨hal-04294920⟩

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