Smart City Gnosys

Smart city article details

Title	Automatic Building Extraction From Uav-Based Images And Dsms Using Deep Learning
ID_Doc	11286
Authors	Farajzadeh Z.; Saadatseresht M.; Alidoost F.
Year	2023
Published	ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 10, 4/W1-2022
DOI	http://dx.doi.org/10.5194/isprs-annals-X-4-W1-2022-171-2023
Abstract	Accurate and automatic building footprint extraction from single UAV images has become essential in many photogrammetry and remote sensing applications such as 3D building modeling, smart city, monitoring, disaster management, and urban planning. In this paper, the capability of U-Net architecture with ResNet as the backbone of the network is investigated to extract the building footprints from UAV-based orthophotos and normalized Digital Surface Models (nDSMs) considering the complementary nature of RGB and height information. The data has been captured from five non-overlapping rural scenes of Yazd province, Iran. After pre-processing, the training and test datasets are prepared to evaluate the performance of U-Net using different hyperparameters and input channels such as RGB (only orthophotos) and RGBD (orthophotos and nDSMs). The experiments highlight the effectiveness of height information to detect and extract the building footprints with significant improvements in precision from 89% to 97% and in recall from 77% to 91%. © Author(s) 2023. CC BY 4.0 License.
Author Keywords	Building Extraction; Deep Learning; nDSMs; U-Net; UAV Images

Similar Articles

Id	Similarity	Authors	Title	Published
102	0.875	Yu D.; Ji S.; Wei S.; Khoshelham K.	3-D Building Instance Extraction From High-Resolution Remote Sensing Images And Dsm With An End-To-End Deep Neural Network	IEEE Transactions on Geoscience and Remote Sensing, 62 (2024)
186	0.872	Cheolhwan K.; Youngmok K.; Wonjun C.; Eunkwan L.; Hong-Gyoo S.	3D Urban Building Reconstruction Through Neural Rendering And Uav Imagery	Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 41, 5 (2023)
62107	0.862	Alidoost F.; Arefi H.; Hahn M.	Y-Shaped Convolutional Neural Network For 3D Roof Elements Extraction To Reconstruct Building Models From A Single Aerial Image	ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 5, 2 (2020)
748	0.856	Chen X.; Cheng Y.; Han X.; Zhao B.; Tao W.; Ozdemir E.; Pan D.	A Compact Surface Reconstruction Method For Buildings Based On Convolutional Neural Network Fitting Implicit Representations	Journal of Computing in Civil Engineering, 39, 3 (2025)
13075	0.856	Han Z.; Li X.; Wang X.; Wu Z.; Liu J.	Building Segmentation In Urban And Rural Areas With Mfa-Net: A Multidimensional Feature Adjustment Approach	Sensors, 25, 8 (2025)
187	0.855	Kim C.; Lee J.; Choi W.; Kwon Y.; Sohn H.-G.	3D Urban Building Reconstruction Using Neural Rendering Technique	Computing in Civil Engineering 2023: Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023 (2024)
12803	0.855	Hu A.; Wu L.; Chen S.; Xu Y.; Wang H.; Xie Z.	Boundary Shape-Preserving Model For Building Mapping From High-Resolution Remote Sensing Images	IEEE Transactions on Geoscience and Remote Sensing, 61 (2023)
36116	0.852	Yang X.	Maf-Unet: Building Extraction Algorithm Based On Improved U-Net Network	2024 3rd International Conference on Artificial Intelligence, Internet of Things and Cloud Computing Technology, AIoTC 2024 (2024)
48301	0.852	Gamal A.; Zulkarnain F.; Indratmoko S.; Ardiansyah; Rohmah L.; Mushfiroh A.	Semi-Automatic Model For Detecting The Discrepancy Between Cadastral Data And Building Footprint Extraction Using Unmanned Aerial Vehicles (Uav) Lidar In The Perspective Of Smart City	1st International Conference on Technology, Engineering, and Computing Applications: Trends in Technology Development in the Era of Society 5.0, ICTECA 2023 (2023)
40306	0.851	Zhao T.	Optical-Aided Unsupervised Structural Health Monitoring Of Buildings Using Convolutional Autoencoders	Proceedings of SPIE - The International Society for Optical Engineering, 13682 (2025)