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Review of Building Extraction Methods Based on High-Resolution Remote Sensing Images

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Communications, Signal Processing, and Systems (CSPS 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1033))

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Abstract

With the continuous advancement of the construction of smart cities, the efficient acquisition and automatic extraction of building information is very important. Building extraction based on high-resolution remote sensing images is an important subject in current remote sensing technology. This paper summarizes the building extraction methods of high-resolution remote sensing images, describes them from traditional methods and deep learning-based methods respectively, and summarizes the evaluation indicators, advantages and disadvantages and application scope of each method. The potential of automation, efficiency and precision of high-resolution building extraction in the future is also discussed.

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Authors and Affiliations

  1. Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, Tianjin, 300387, China

    Ruotong Zou, Guowei Che, Xiaoming Ding, Xinwei Dong, Chao Sun & Lezhou Feng

Authors
  1. Ruotong Zou
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  2. Guowei Che
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  3. Xiaoming Ding
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  4. Xinwei Dong
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  5. Chao Sun
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  6. Lezhou Feng
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Corresponding author

Correspondence to Guowei Che .

Editor information

Editors and Affiliations

  1. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  2. Inovative Parking Building, Room B410, Dalian University of Technology, Dalian, China

    Xin Liu

  3. Sci & Tech, DianHang Bldg, Rm 321, Dalian Maritime Univ, Sch of Info, Dalian, China

    Zhenyu Na

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Zou, R., Che, G., Ding, X., Dong, X., Sun, C., Feng, L. (2024). Review of Building Extraction Methods Based on High-Resolution Remote Sensing Images. In: Wang, W., Liu, X., Na, Z., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2023. Lecture Notes in Electrical Engineering, vol 1033. Springer, Singapore. https://doi.org/10.1007/978-981-99-7502-0_55

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  • DOI: https://doi.org/10.1007/978-981-99-7502-0_55

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-7555-6

  • Online ISBN: 978-981-99-7502-0

  • eBook Packages: EngineeringEngineering (R0)

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