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
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
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
LRAD-Net: An Improved Lightweight Network for Building Extraction From Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3229460
Abstract: The building extraction method of remote sensing images that uses deep learning algorithms can solve the problems of low efficiency and poor effect of traditional methods during feature extraction. Although some semantic segmentation networks proposed… read more here.
Keywords: network; remote sensing; extraction; lrad net ... See more keywords
A Diverse Large-Scale Building Dataset and a Novel Plug-and-Play Domain Generalization Method for Building Extraction
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.2023.3268176
Abstract: In this article, we introduce a new building dataset and propose a novel domain generalization method to facilitate the development of building extraction from high-resolution remote sensing images. The problem with the current building datasets… read more here.
Keywords: building dataset; domain generalization; building; building extraction ... See more keywords
Pixel-Level Self-Supervised Learning for Semi-Supervised Building Extraction From Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3207465
Abstract: Building extraction from remotely sensed images has been challenging yet vital for applicable purposes such as urban monitoring and cartography. Most existing learning-based approaches focus on supervised methods, in which the models should be trained… read more here.
Keywords: remote sensing; semi supervised; extraction; level ... See more keywords