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  • Building detection with convolutional networks trained with transfer learning = Zaznavanje stavb z uporabo nevronskih mrež, učenih s prenosom znanja
    Šanca, Simon ; Oštir, Krištof ; Mangafić, Alen
    Building footprint detection based on orthophotos can be used to update the building cadastre. In recent years deep learning methods using convolutional neural networks have been increasingly used ... around the world. We present an example of automatic building classification using our datasets made of colour near-infrared orthophotos (NIRR-G) and colour orthophotos (R-G-B). Building detection using pretrained weights from two large scale datasets Microsoft Common Objects in Context (MS COCO) and ImageNet was performed and tested. We applied the Mask Region Convolutional Neural Network (Mask R-CNN) to detect the building footprints. The purpose of our research is to identify the applicability of pre-trained neural networks on the data of another colour space to build a classification model without re-learning.
    Vir: Geodetski vestnik : glasilo Zveze geodetov Slovenije = Journal of the Association of Surveyors of Slovenia. - ISSN 0351-0271 (Letn. 65, št. 4, 2021, str. 559-593)
    Vrsta gradiva - članek, sestavni del
    Leto - 2021
    Jezik - angleški, slovenski
    COBISS.SI-ID - 92864259

    Povezava(-e):

    http://www.geodetski-vestnik.com/65/4/gv65-4_sanca.pdf
    Digitalna knjižnica Slovenije - dLib.si
    DOI

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