Road marking extraction in UAV imagery using attentive capsule feature pyramid network

International Journal of Applied Earth Observation and Geoinformation(2022)

引用 8|浏览6
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摘要
•The proposed ACapsFPN extracted road markings in UAV images.•A capsule feature pyramid network provided a high-resolution, semantically-strong feature representation.•A novel multi-scale context feature (MCF) descriptor was designed to obtain multi-scale contextual information.•Ternary feature attention modules were designed to improve the accuracy of road marking extraction.
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关键词
Road markings,Capsule,Feature pyramid network,Dense atrous convolution,UAV images
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