A method for calculating the height of a single tall building based on convolutional neural networks and drone oblique photography images

doi:10.13474/j.cnki.11-2246.2024.0320

Abstract

Abstract: In order to improve the height calculation effect of a single high-rise building, a method based on convolutional neural network for calculating the height of a single high-rise building using unmanned aerial vehicle oblique photography images is proposed. Firstly, drone tilt photography technology is used to capture images of high-rise buildings.Secondly, input high-rise building images into the convolutional neural network and perform enhancement processing on them to improve the clarity of the image.Finally, the shadow length is calculated using the band conversion index and shadow index, and the height of a single high-rise building is calculated based on this. The experimental results show that the proposed method has good image enhancement processing effect, high measurement accuracy, and efficiency.

Key words: convolutional neural network, drone tilt photography, image enhancement, shadow extraction, height measurement

CLC Number:

P237

GAO Guitang, XI Lianxia, ZHONG Xiaolong. A method for calculating the height of a single tall building based on convolutional neural networks and drone oblique photography images[J]. Bulletin of Surveying and Mapping, 2024, 0(3): 118-122.

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