Glacial lakes provide insight into the melting rates of glaciers; thus, the ability to automatically detect and map them opens possibilities for improved monitoring of the changing size of glacial lakes. An accurate automated method for glacial lake segmentation would provide the means to perform constant monitoring without the need for tedious manual labeling. This work utilizes a deep learning approach using semantic segmentation in MATLAB with convolutional neural networks (CNNs) to automatically detect and map glacial lakes. This work can be used to produce quick estimates of lake area in order to monitor changes in their size. The CNN used is DeepLab v3+ with a Resnet 18 backbone. The algorithm correctly identified 93.322 % of lake pixels and has a mean BF score of 0.98652, meaning that the generated boundaries closely match the truth. These results show that this is a viable method for the detection and mapping of glacial lakes.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Deep Learning and Semantic Segmentation for the Detection and Mapping of Glacial Lakes


    Beteiligte:


    Erscheinungsdatum :

    15.07.2024


    Format / Umfang :

    2616433 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Deep Learning on 3D Point Cloud for Semantic Segmentation

    Ning, Zhihan / Tang, Linlin / Qi, Shuhan et al. | Springer Verlag | 2021


    Deep Learning on 3D Point Cloud for Semantic Segmentation

    Ning, Zhihan / Tang, Linlin / Qi, Shuhan et al. | TIBKAT | 2022


    Comparison of Deep Learning Algorithms UNet and DeepLab for Oil Palm Plantation Mapping With Semantic Segmentation Approach

    Gates Siallagan, Mark Bill / Salim, Sunarko / Putra Ananda Muslim, Reyhan Tri et al. | IEEE | 2024


    Real-time Semantic Segmentation-based Depth Upsampling using Deep Learning

    Miclea, Vlad-Cristian / Nedevschi, Sergiu | IEEE | 2018


    Lidar Mapping Optimization Based on Lightweight Semantic Segmentation

    Zhao, Zhihao / Zhang, Wenquan / Gu, Jianfeng et al. | IEEE | 2019