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Erschienen in:
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2024 | OriginalPaper | Buchkapitel

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

verfasst von : Ruotong Zou, Guowei Che, Xiaoming Ding, Xinwei Dong, Chao Sun, Lezhou Feng

Erschienen in: Communications, Signal Processing, and Systems

Verlag: Springer Nature Singapore

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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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Metadaten
Titel
Review of Building Extraction Methods Based on High-Resolution Remote Sensing Images
verfasst von
Ruotong Zou
Guowei Che
Xiaoming Ding
Xinwei Dong
Chao Sun
Lezhou Feng
Copyright-Jahr
2024
Verlag
Springer Nature Singapore
Buch
Communications, Signal Processing, and Systems

Print ISBN: 978-981-9975-55-6

Electronic ISBN: 978-981-9975-02-0

Copyright-Jahr: 2024

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

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