Spacecraft Recovery & Remote Sensing, Volume. 45, Issue 2, 144(2024)

Building Extraction Based on Convolutional Neural Network

Yunfei WANG
Author Affiliations
  • Nanjing University of Science and Technology, Nanjing 210094, China
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    References(9)

    [4] L XU, Y LI, J XU et al. Gated Spatial Memory and Centroid-Aware Network for Building Instance Extraction. IEEE Transactions on Geoscience and Remote Sensing, 60, 4402214, 1-14(2021).

    [15] [15] RONNEBERGER O, FISCHER P, BROX T. U: Convolutional wks f Biomedical Image Segmentation[C]International Conference on Medical Image Computing ComputerAssisted Intervention, October 5–9, 2015, Munich, Germany. [S.l.] : Springer, 2015: 234–241.

    [18] [18] CHEN L, ZHU Y, PAPREOU G, et al. EncoderDecoder with Atrous Separable Convolution f Semantic Image Segmentation[C]Proceedings of the European Conference on Computer Vision 2018, September 8–14, 2018, Munich, Germany. [S.l.] : Springer, 2018: 801–818.

    [20] [20] CHAURASIA A, CULURCIELLO E. Link: Exploiting Encoder Representations f Efficient Semantic Segmentation[C]2017 IEEE Visual Communications Image Processing: VCIP 2017, December 10–13, 2017, St. Petersburg, Flida, USA. Piscataway: IEEE, 2017: 1–4.

    [21] S H GAO, M M CHENG, K ZHAO et al. Res2net: A New Multi-Scale Backbone Architecture. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43, 652-662(2019).

    [22] S JI, S WEI, M LU. Fully Convolutional Networks for Multisource Building Extraction from an Open Aerial and Satellite Imagery Data Set. IEEE Transactions on Geoscience and Remote Sensing, 57, 574-586(2018).

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    Yunfei WANG. Building Extraction Based on Convolutional Neural Network[J]. Spacecraft Recovery & Remote Sensing, 2024, 45(2): 144

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    Paper Information

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    Received: Nov. 3, 2023

    Accepted: Jan. 30, 2024

    Published Online: May. 29, 2024

    The Author Email:

    DOI:10.3969/j.issn.1009-8518.2024.02.014

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