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Mapping mountain glaciers using an improved U-Net model with cSE

التفاصيل البيبلوغرافية
العنوان: Mapping mountain glaciers using an improved U-Net model with cSE
المؤلفون: Suzheng Tian, Yusen Dong, Ruyi Feng, Dong Liang, Lizhe Wang
المصدر: International Journal of Digital Earth, Vol 15, Iss 1, Pp 463-477 (2022)
بيانات النشر: Taylor & Francis Group, 2022.
سنة النشر: 2022
المجموعة: LCC:Mathematical geography. Cartography
مصطلحات موضوعية: u-net, channel-attention mechanism, conditional random field, glacier extraction, pamir plateau, Mathematical geography. Cartography, GA1-1776
الوصف: Global warming is melting glaciers. Changes in mountain glaciers have a tremendous impact on human life. Regular identification and extraction of glaciers from satellite images are necessary. However, when studying glaciers, materials surrounding the glacier have high spectral similarity to glaciers and are easily misclassified in the identification process. Therefore, in this study of glacier extraction, we used an improved U-Net model (a channel-attention U-Net) to map glaciers. The model was trained on Landsat 8 Operational Land Imager (OLI) data and a Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM), and was tested on glaciers in the Pamir Plateau. The results show that the channel-attention U-Net identifies glaciers with relatively high accuracy compared to U-Net and GlacierNet. The obtained results were fine-tuned by the conditional random field model, effectively reducing background misidentification.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1753-8947
1753-8955
17538947
Relation: https://doaj.org/toc/1753-8947; https://doaj.org/toc/1753-8955
DOI: 10.1080/17538947.2022.2036834
URL الوصول: https://doaj.org/article/81523905332b487db5ff53631b805619
رقم الأكسشن: edsdoj.81523905332b487db5ff53631b805619
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:17538947
17538955
DOI:10.1080/17538947.2022.2036834