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15 ta ish

Ish: The Role of CV Methods in Drone Image Classification: Analysis of Time and Accuracy Efficiency

  1. Random Forests

    Leo Breiman

    MaqolaOchiq kirish2001117 iqtibos
    ABI

  2. Textural Features for Image Classification

    Robert M. Haralick, K. Shanmugam, I. Dinstein

    Maqola197310 iqtibos
    ABI

  3. Implementation of machine-learning classification in remote sensing: an applied review

    Aaron E. Maxwell, Timothy A. Warner, Fang Fang

    MaqolaOchiq kirish20186 iqtibos
    ABI

  4. Introductory digital image processing: A remote sensing perspective

    John R. Jensen, Kalmesh Lulla

    MaqolaOchiq kirish19875 iqtibos
    ABI

  5. Bilateral filtering for gray and color images

    Carlo Tomasi, Roberto Manduchi

    Maqola20025 iqtibos
    ABI

  6. Remote Sensing Digital Image Analysis

    John A. Richards, Xiuping Jia

    Kitob20054 iqtibos
    ABI

  7. Random Forests for land cover classification

    Pall Oskar Gislason, Jón Atli Benediktsson, Jóhannes R. Sveinsson

    Maqola20054 iqtibos
    ABI

  8. A comparative study of texture measures with classification based on featured distributions

    Timo Ojala, Matti Pietikäinen, David Harwood

    Maqola19964 iqtibos
    ABI

  9. Random forest classifier for remote sensing classification

    Mahesh Pal

    Maqola20053 iqtibos
    ABI

  10. Sarlavhasiz

    Boshqa3 iqtibos
    ABI

  11. Intelligent Analysis of Urban Green Zones Based on Unmanned Aerial Vehicle Data

    Ravshan Shirinboyev, Shavkat Akhralov, Asror ULASHEV

    MaqolaRemote Sensing and Land Use20262 iqtibos
    ABI

  12. Sarlavhasiz

    BoshqaOchiq kirish2 iqtibos
    ABI

  13. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  14. Sarlavhasiz

    BoshqaOchiq kirish1 iqtibos
    ABI

  15. Sarlavhasiz

    BoshqaOchiq kirish1 iqtibos
    ABI