Remote Sensing based Building Extraction

• Autore principale: Yang, Bisheng (auth)
• Altri autori: Awrangjeb, Mohammad (auth), Hu, Xiangyun (auth), Tian, Jiaojiao (auth)
• Natura: Elettronico Capitolo di libro
• Lingua: inglese
• Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute 2020
• Soggetti: History of engineering & technology; object recognition; n/a; very high resolution; image fusion; regularization; simple linear iterative clustering (SLIC); digital building height; building; DTM extraction; 3D reconstruction; imagery; GIS data; high-resolution satellite images; building edges detection; high resolution optical images; point clouds; building extraction; land-use; morphological attribute filter; deep convolutional neural network; boundary extraction; high spatial resolution remotely sensed imagery; remote sensing; fully convolutional network; 3-D; semantic segmentation; morphological profile; modelling; roof segmentation; boundary regulated network; 3D urban expansion; feature fusion; developing city; very high resolution imagery; building detection; occlusion; change detection; building index; Massachusetts buildings dataset; elevation map; high spatial resolution remote sensing imagery; data fusion; generative adversarial network; unmanned aerial vehicle (UAV); high-resolution aerial images; ultra-hierarchical sampling; U-Net; binary decision network; straight-line segment matching; outline extraction; building boundary extraction; deep learning; aerial images; mobile laser scanning; feature extraction; multiscale Siamese convolutional networks (MSCNs); urban building extraction; high-resolution aerial imagery; mathematical morphology; indoor modelling; Gabor filter; active contour model; attention mechanism; convolutional neural network; LiDAR; accuracy analysis; point cloud; feature-level-fusion; building reconstruction; richer convolution features; open data; VHR remote sensing imagery; Inria aerial image labeling dataset; LiDAR point cloud; method comparison; 5G signal simulation; reconstruction; building regularization technique; web-net
• Accesso online: DOAB: download the publication; DOAB: description of the publication

Building extraction from remote sensing data plays an important role in urban planning, disaster management, navigation, updating geographic databases, and several other geospatial applications. Even though significant research has been carried out for more than two decades, the success of automatic...