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5 works

Work: Perspectives of deep learning based satellite imagery analysis and efficient training of the U-Net architecture for land-use classification

  1. Improved Agricultural Field Segmentation in Satellite Imagery Using TL-ResUNet Architecture

    Furkat Safarov, Kuchkorov Temurbek, Djumanov Jamoljon +4

    ArticleRemote-Sensing Image ClassificationSensors20228 citations
    ABI

  2. Agro-field Boundary Detection using Mask R-CNN from Satellite and Aerial Images

    Temurbek Kuchkorov, Temur Ochilov, Elyor Gaybulloev +2

    ArticleSmart Agriculture and AI2021 International Conference on Information Science and Communications Technologies (ICISCT)20214 citations
    ABI

  3. Traffic and road sign recognition using deep convolutional neural network

    Temurbek Kuchkorov, Jamshid Khamzaev, Zamira Allamuratova +1

    ArticleVehicle License Plate Recognition2021 International Conference on Information Science and Communications Technologies (ICISCT)20213 citations
    ABI

  4. Gastric Ulcer Detection in Endoscopic Images Using MobileNetV3-Small

    Temurbek Kuchkorov, N. Q. Sabitova, Temur Ochilov

    ChapterGastrointestinal Bleeding Diagnosis and TreatmentLecture notes in computer science20240 citations
    ABI

  5. Satellite Imagery Super Resolution Using Classical and Deep Learning Algorithms

    Temurbek Kuchkorov, J. X. Djumanov, Temur Ochilov +1

    ChapterAdvanced Image Processing TechniquesLecture notes in computer science20240 citations
    ABI