Automatic building extraction from high-resolution aerial images and LiDAR data using gated residual refinement network
Sign Up to like & getrecommendations! Published in 2019 at "ISPRS Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2019.02.019
Abstract: Abstract Automated extraction of buildings from remotely sensed data is important for a wide range of applications but challenging due to difficulties in extracting semantic features from complex scenes like urban areas. The recently developed… read more here.
Keywords: gated residual; residual refinement; feature; building extraction ... See more keywords
Building extraction from VHR remote sensing imagery by combining an improved deep convolutional encoder-decoder architecture and historical land use vector map
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2020.1742944
Abstract: ABSTRACT Building extraction has attracted considerable attention in the field of remote sensing image analysis. Fully convolutional network modelling is a recently developed technique that is capable of significantly enhancing building extraction accuracy. It is… read more here.
Keywords: convolutional encoder; extraction; building extraction; deep convolutional ... See more keywords
Investigations on extraction of buildings from RS imagery using deep learning models
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2023.2292016
Abstract: ABSTRACT Building roofs are crucial elements that must be extracted from satellite images for use in services like updating geodatabases, risk analysis and rescue maps. The diversity and complexity of the building structures present challenges… read more here.
Keywords: deep learning; extraction buildings; learning models; building extraction ... See more keywords
EMAFF-Net: an enhanced multi-scale attentive feature fusion network for building extraction from VHR remote sensing images
Sign Up to like & getrecommendations! Published in 2024 at "Remote Sensing Letters"
DOI: 10.1080/2150704x.2024.2305624
Abstract: ABSTRACT Automated building extraction is imperative for several geospatial applications such as monitoring disaster-affected buildings and urban planning. Existing deep learning (DL)-based building extraction methods fail to capture high-level semantic features due to the complex… read more here.
Keywords: building extraction; emaff net; feature fusion; multi scale ... See more keywords
ARC-Net: An Efficient Network for Building Extraction From High-Resolution Aerial Images
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3015701
Abstract: Automatic building extraction based on high-resolution aerial images has important applications in urban planning and environmental management. In recent years advances and performance improvements have been achieved in building extraction through the use of deep… read more here.
Keywords: arc net; resolution aerial; high resolution; building extraction ... See more keywords
IRU-Net: An Efficient End-to-End Network for Automatic Building Extraction From Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3164401
Abstract: Automatic extraction of buildings from High-Resolution Remote Sensing (RS) Imagery is of great practical interest for numerous applications; including urban planning, change detection, disaster management, estimation of human population, and many other geospatial related applications.… read more here.
Keywords: remote sensing; extraction; iru net; building extraction ... See more keywords
GU-Net3+: A Global-Local Feature Fusion Algorithm for Building Extraction in Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3588206
Abstract: In remote sensing image building extraction, image regions with similar textures or colors often cause false positives and false negatives in building-detection. Global features can help the model better recognize the overall structure of large… read more here.
Keywords: building extraction; global local; remote sensing; extraction ... See more keywords
A Probabilistic Framework for Building Extraction From Airborne Color Image and DSM
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2016.2616446
Abstract: This paper proposes a supervised probabilistic framework for building extraction. Multiple features from both images and point clouds can be fused in this framework to achieve global optimal building extraction. Basically, it adopts conditional random… read more here.
Keywords: framework; color; building extraction; probabilistic framework ... See more keywords
Attention-Gate-Based Encoder–Decoder Network for Automatical Building Extraction
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.2021.3058097
Abstract: Rapidly developing remote sensing technology provides massive data for urban planning, mapping, and disaster management. As a carrier of human productive activities, buildings are essential to both urban dynamic monitoring and suburban construction inspection. Fully-convolutional-network-based… read more here.
Keywords: encoder decoder; encoder; building extraction; building ... See more keywords
MSG-SR-Net: A Weakly Supervised Network Integrating Multiscale Generation and Superpixel Refinement for Building Extraction From High-Resolution Remotely Sensed Imageries
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2021.3137450
Abstract: Weakly supervised semantic segmentation (WSSS) methods based on image-level labels can relieve the tedious pixel-level annotation burden, and these methods are mainly based on class activation maps (CAMs). However, it is challenging to generate high-quality… read more here.
Keywords: high resolution; weakly supervised; msg net; building extraction ... See more keywords
Building Extraction From Remote Sensing Images With DoG as Prior Constraint
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3195808
Abstract: Building extraction from aerial and satellite remote sensing images is a basic component of social development. Compared to traditional feature extraction strategies, deep convolutional neural networks (CNNs) have the advantage of extracting deep high-level semantic… read more here.
Keywords: building extraction; extraction; remote sensing; sensing images ... See more keywords