LR‐RoadNet: A long‐range context‐aware neural network for road extraction via high‐resolution remote sensing images

LR‐RoadNet: A long‐range context‐aware neural network for road extraction via high‐resolution remote sensing images

Abstract Road extraction from high‐resolution remote sensing images (HRSIs) has great importance in various practical applications. However, most existing road extraction methods have considerable limitation in capturing long‐range shape feature of road, and thus, they are ineffective in extracting...

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Bibliographic Details
Main Authors: Panle Li, Zhihui Tian, Xiaohui He, Mengjia Qiao, Xijie Cheng, Dingjun Song, Mingyang Chen, Jiamian Li, Tao Zhou, Xiaoyu Guo, Zhiqiang Li, Daidong Li, Zihao Ding, Runchuan Li
Format: Article
Language:English
Published: Wiley 2021-11-01
Series:IET Image Processing
Subjects:
deep convolutional neural networks
long‐range context
pyramid pooling module
road extraction
strip pooling
Online Access:https://doi.org/10.1049/ipr2.12320

Internet

https://doi.org/10.1049/ipr2.12320

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