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OpenAlex konusu

Remote-Sensing Image Classification

Bu sayfa OpenAlex konu etiketine göre çalışmaları ve o konuda görünen akademisyenleri listeler. YÖKSİS temel alan / yan dal değildir.

OpenAlex 2.322 eser 133 yazar konusu

Çalışmalar

2.322 eser

  1. The 2005 PASCAL Visual Object Classes Challenge 2006
    OpenAlex üst %1 OpenAlex 99.9%

    Özet henüz yok.

  2. A kernel functions analysis for support vector machines for land cover classification 2009
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.5%

    Özet henüz yok.

  3. A kernel functions analysis for support vector machines for land cover classification 2009
    YÖKSİS JCR Q2 OpenAlex üst %1 OpenAlex 99.5%

    Özet henüz yok.

  4. Plant identification using deep neural networks via optimization of transfer learning parameters 2017
    OpenAlex üst %1 OpenAlex 100.0%

    Özet henüz yok.

  5. A new image quality metric for image fusion The sum of the correlations of differences 2015
    YÖKSİS SJR Q2 JCR Q3 OpenAlex üst %10 OpenAlex 96.3%

    Özet henüz yok.

  6. A new image quality metric for image fusion The sum of the correlations of differences 2015
    YÖKSİS SJR Q2 JCR Q3 OpenAlex üst %10 OpenAlex 96.4%

    Özet henüz yok.

  7. The Use of Backpropagating Artificial Neural Networks in Land Cover Classification 2003
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.2%

    Artificial neural networks (ANNs) are used for land cover classification using remotely sensed data. Training of a neural network requires that the user specifies the network structure and sets the learning parameters. In this study, the optimum design of ANNs for classification problems is investigated. Heuristics pr…

  8. Urban-Area and Building Detection Using SIFT Keypoints and Graph Theory 2009
    YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.5%

    Very high resolution satellite images provide valuable information to researchers. Among these, urban-area boundaries and building locations play crucial roles. For a human expert, manually extracting this valuable information is tedious. One possible solution to extract this information is using automated techniques.…

  9. A review on change detection method and accuracy assessment for land use land cover 2021
    YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %1 OpenAlex 99.6%

    Özet henüz yok.

  10. A comparative study on multivariate mathematical morphology 2007
    OpenAlex üst %1 OpenAlex 99.7%

    Özet henüz yok.

  11. Comparison of maximum likelihood classification method with supervised artificial neural network algorithms for land use activities 2004
    YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %10 OpenAlex 97.5%

    More than most European cities, Istanbul is experiencing considerable pressure from urban development due to a rapidly increasing population. As a consequence the land use activities in urban and suburban areas are changing dramatically. To provide cost-effective information about the current state and how it is chang…

  12. Comparison of maximum likelihood classification method with supervised artificial neural network algorithms for land use activities 2004
    YÖKSİS SJR Q1 JCR Q2 OpenAlex üst %10 OpenAlex 97.6%

    More than most European cities, Istanbul is experiencing considerable pressure from urban development due to a rapidly increasing population. As a consequence the land use activities in urban and suburban areas are changing dramatically. To provide cost-effective information about the current state and how it is chang…

Akademisyenler

133 akademisyen