Pine wilt disease is extremely ruinous to forests. It is an important to hold back the transmission of the disease in order to detect diseased trees on UAV imagery, by using a detection algorithm. However, most of the existing detection algorithms for diseased trees ignore the interference of complex backgrounds to the diseased tree feature extraction in drone images. Moreover, the sampling range of the positive sample does not match the circular shape of the diseased tree in the existing sampling methods, resulting in a poor-quality positive sample of the sampled diseased tree. This paper proposes a Global Multi-Scale Channel Adaptation Network to solve these problems. Specifically, a global multi-scale channel attention module is developed, which alleviates the negative impact of background regions on the model. In addition, a center circle sampling method is proposed to make the sampling range of the positive sample fit the shape of a circular disease tree target, enhancing the positive sample’s sampling quality significantly. The experimental results show that our algorithm exceeds the seven mainstream algorithms on the diseased tree dataset, and achieves the best detection effect. The average precision (AP) and the recall are 79.8% and 86.6%, respectively.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    A Global Multi-Scale Channel Adaptation Network for Pine Wilt Disease Tree Detection on UAV Imagery by Circle Sampling


    Beteiligte:
    Dong Ren (Autor:in) / Yisheng Peng (Autor:in) / Hang Sun (Autor:in) / Mei Yu (Autor:in) / Jie Yu (Autor:in) / Ziwei Liu (Autor:in)


    Erscheinungsdatum :

    2022




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Driver distraction detection via multi‐scale domain adaptation network

    Jing Wang / ZhongCheng Wu | DOAJ | 2023

    Freier Zugriff

    Driver distraction detection via multi‐scale domain adaptation network

    Wang, Jing / Wu, ZhongCheng | Wiley | 2023

    Freier Zugriff

    A NON-POWERED TREE CIRCLE KICKBOARD

    KIM HEA RAN | Europäisches Patentamt | 2017

    Freier Zugriff


    Field sampling tea tree pest detection vehicle and detection system

    YI TIAN / LI WEI / YAO JINGJING | Europäisches Patentamt | 2023

    Freier Zugriff