Laser & Optoelectronics Progress, Volume. 61, Issue 4, 0428007(2024)

Remote Sensing Road Extraction Combining Contextual Information and Multi-Layer Features Fusion

Guo Chen1,2 and Likun Hu1,2、*
Author Affiliations
  • 1School of Electrical Engineering, Guangxi University, Nanning 530004, Guangxi, China
  • 2Advanced Measurement & Control & Intelligent Power Research Center, Guangxi University, Nanning 530004, Guangxi, China
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    References(28)

    [1] Li L, Wu H Y, Zhang T Y. Constructing semantic map of mobile robots based on improved DeepLab V3+[J]. Laser & Optoelectronics Progress, 59, 1015002(2022).

    [2] Li D R, Hong Y, Wang M et al. What can surveying and remote sensing do for intelligent driving?[J]. Acta Geodaetica et Cartographica Sinica, 50, 1421-1431(2021).

    [3] Hu H Y, Zuo J X, Lü Y et al. Automatic driving-oriented road network detection method for remote sensing images[J]. China Journal of Highway and Transport, 35, 310-317(2022).

    [4] Zhang J F, Liu J, Xie F et al. Semantic segmentation of station selection and line selection in remote sensing image based on improved Deeplabv3+ network[J]. Control Engineering of China, 29, 558-563(2022).

    [5] Wu Q Q, Wang S, Wang B et al. Road extraction from high resolution remote sensing images based on spatial information perception semantic segmentation model[J]. National Remote Sensing Bulletin, 26, 1872-1885(2022).

    [6] Dai J G, Wang Y, Du Y et al. Development and prospect of road extraction method for optical remote sensing image[J]. Journal of Remote Sensing, 24, 804-823(2020).

    [7] Zhou P, Yang J. Semantic segmentation of remote sensing images based on neural architecture search[J]. Journal of Xidian University, 48, 47-57, 77(2021).

    [8] Gao H, Yan X D, Zhang H et al. Multi-scale Sea-land segmentation method for remote sensing images based on Res2Net[J]. Acta Optica Sinica, 42, 1828004(2022).

    [9] Long J, Shelhamer E, Darrell T. Fully convolutional networks for semantic segmentation[C], 3431-3440(2015).

    [10] Ronneberger O, Fischer P, Brox T. U-Net: convolutional networks for biomedical image segmentation[M]. Navab N, Hornegger J, Wells W M, et al. Medical image computing and computer-assisted intervention-MICCAI 2015. Lecture notes in computer science, 9351, 234-241(2015).

    [11] Liu H X, Zhao Y M, Zhang C L et al. Study on tooth cone beam CT image reconstruction based on improved U-Net network[J]. Chinese Journal of Lasers, 49, 2407207(2022).

    [12] Li X F, Wang S Q, Weng X et al. Remote sensing of floating macroalgae blooms in the East China Sea based on UNet deep learning model[J]. Acta Optica Sinica, 41, 0201002(2021).

    [13] Chen L C, Papandreou G, Kokkinos I et al. DeepLab: semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40, 834-848(2018).

    [14] Chen L C, Zhu Y K, Papandreou G et al. Encoder-decoder with atrous separable convolution for semantic image segmentation[M]. Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision–ECCV 2018. Lecture notes in computer science, 11211, 833-851(2018).

    [15] Zhao H S, Shi J P, Qi X J et al. Pyramid scene parsing network[C], 6230-6239(2017).

    [16] Zhou L C, Zhang C, Wu M. D-LinkNet: LinkNet with pretrained encoder and dilated convolution for high resolution satellite imagery road extraction[C], 192-1924(2018).

    [17] Wang Y, Zeng X Q. Road extraction model integrating attention mechanism and extended convolution[J]. Journal of Image and Graphics, 27, 3102-3115(2022).

    [18] Kong X W, Wang C Y, Zhang S C et al. Application of improved U-net network in road extraction from remote sensing images[J]. Remote Sensing Information, 37, 97-104(2022).

    [19] He Z, Tao Y X, Luo X B et al. Road extraction from remote sensing image based on improved U-Net[J]. Laser & Optoelectronics Progress, 60, 1628004(2023).

    [20] Yang Z G, Zhou D X, Yang Y et al. Road extraction from satellite imagery by road context and full-stage feature[J]. IEEE Geoscience and Remote Sensing Letters, 20, 8000405(2023).

    [21] Wang Z X, Xu Z M, Xue Y Y et al. Global and spatial multi-scale contexts fusion for vehicle re-identification[J]. Journal of Image and Graphics, 28, 471-482(2023).

    [22] Li H Y, Chao Y J, Yu P F et al. Image inpainting algorithm based on diverse aggregation of context information[J]. Journal of Beijing University of Posts and Telecommunications, 46, 19-25(2023).

    [23] Lin T Y, Goyal P, Girshick R et al. Focal loss for dense object detection[C], 2999-3007(2017).

    [24] Milletari F, Navab N, Ahmadi S A. V-net: fully convolutional neural networks for volumetric medical image segmentation[C], 565-571(2016).

    [25] Woo S, Park J, Lee J Y et al. CBAM: convolutional block attention module[M]. Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision–ECCV 2018. Lecture notes in computer science, 11211, 3-19(2018).

    [26] Zhu W T, Huang Y F, Zeng L et al. AnatomyNet: deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy[J]. Medical Physics, 46, 576-589(2019).

    [27] Mnih V. Machine learning for aerial image labeling[D](2013).

    [28] Zhu Q Q, Zhang Y N, Li Z Q et al. Oil spill contextual and boundary-supervised detection network based on marine SAR images[J]. IEEE Transactions on Geoscience and Remote Sensing, 60, 5213910(2022).

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    Guo Chen, Likun Hu. Remote Sensing Road Extraction Combining Contextual Information and Multi-Layer Features Fusion[J]. Laser & Optoelectronics Progress, 2024, 61(4): 0428007

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Apr. 3, 2023

    Accepted: Jun. 20, 2023

    Published Online: Feb. 26, 2024

    The Author Email: Hu Likun (hlk3email@163.com)

    DOI:10.3788/LOP231024

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