Automatic registration of a single SAR image and GIS building footprints in a large-scale urban area
Sign Up to like & getrecommendations! Published in 2020 at "Isprs Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2020.09.016
Abstract: Existing techniques of 3-D reconstruction of buildings from SAR images are mostly based on multibaseline SAR interferometry, such as PSI and SAR tomography (TomoSAR). However, these techniques require tens of images for a reliable reconstruction,… read more here.
Keywords: image; gis; registration; building footprints ... See more keywords
Relative performance of super-resolved Sentinel-2 and Copernicus VHR images in mapping built-up areas and building footprints using deep learning
Sign Up to like & getrecommendations! Published in 2025 at "European Journal of Remote Sensing"
DOI: 10.1080/22797254.2025.2517381
Abstract: ABSTRACT Studies have demonstrated that impressive super-resolution results can be achieved on spaceborne optical images, such as Sentinel-2, using variants of the Generative Adversarial Networks (GAN) among others. However, the practical performance of these super-resolved… read more here.
Keywords: resolution; built areas; super resolved; building footprints ... See more keywords
Scale-Robust Deep-Supervision Network for Mapping Building Footprints From High-Resolution Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2021.3109237
Abstract: Building footprint information is one of the key factors for sustainable urban planning and environmental monitoring. Mapping building footprints from remote sensing images is an important and challenging task in the earth observation field. Over… read more here.
Keywords: remote sensing; building footprints; deep supervision; building ... See more keywords
PolyFootNet: Extracting Polygonal Building Footprints in Off-Nadir Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3590054
Abstract: Extracting polygonal building footprints from off-nadir imagery is crucial for diverse applications. Current deep-learning-based extraction approaches predominantly rely on semantic segmentation paradigms and postprocessing algorithms, limiting their boundary precision and applicability. However, existing polygonal extraction… read more here.
Keywords: building footprints; building; extraction; polyfootnet ... See more keywords
Learning to Extract Building Footprints from Off-Nadir Aerial Images.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2022.3162583
Abstract: Extracting building footprints from aerial images is essential for precise urban mapping with photogrammetric computer vision technologies. Existing approaches mainly assume that the roof and footprint of a building are well overlapped, which may not… read more here.
Keywords: offset vector; building footprints; nadir aerial; building ... See more keywords
Semi-automatic building footprint using multirotor and fixed wing UAV
Sign Up to like & getrecommendations! Published in 2020 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v17.i3.pp1298-1305
Abstract: The current techniques to extract building footprints frequently involve Light Detection and Ranging (LiDAR), as well as satellite images. The UAV is proposed to acquire aerial imagery in this study as it is more efficient,… read more here.
Keywords: area; fixed wing; wing uav; different uav ... See more keywords