Smart City Gnosys

Smart city article details

Title	Review Of Building Extraction Methods Based On High-Resolution Remote Sensing Images
ID_Doc	46437
Authors	Zou R.; Che G.; Ding X.; Dong X.; Sun C.; Feng L.
Year	2024
Published	Lecture Notes in Electrical Engineering, 1033
DOI	http://dx.doi.org/10.1007/978-981-99-7502-0_55
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. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Author Keywords	Buildings; Deep learning; High-resolution remote sensing image

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