Building extraction with vision transformer
As an important carrier of human productive activities, the extraction of buildings is not only
essential for urban dynamic monitoring but also necessary for suburban construction …
essential for urban dynamic monitoring but also necessary for suburban construction …
Semantic segmentation-based building footprint extraction using very high-resolution satellite images and multi-source GIS data
Automatic extraction of building footprints from high-resolution satellite imagery has become
an important and challenging research issue receiving greater attention. Many recent …
an important and challenging research issue receiving greater attention. Many recent …
BOMSC-Net: Boundary optimization and multi-scale context awareness based building extraction from high-resolution remote sensing imagery
Automatic building extraction from high-resolution remote sensing imagery has various
applications, such as urban planning and land use management. However, the existing …
applications, such as urban planning and land use management. However, the existing …
Res2-Unet, a new deep architecture for building detection from high spatial resolution images
F Chen, N Wang, B Yu, L Wang - IEEE Journal of Selected …, 2022 - ieeexplore.ieee.org
Accurate large-scale building detection is significant in monitoring urban development, map
updating, change detection, and digital city establishment. However, due to the complicated …
updating, change detection, and digital city establishment. However, due to the complicated …
Large-scale oil palm tree detection from high-resolution satellite images using two-stage convolutional neural networks
Being an important economic crop that contributes 35% of the total consumption of
vegetable oil, remote sensing-based quantitative detection of oil palm trees has long been a …
vegetable oil, remote sensing-based quantitative detection of oil palm trees has long been a …
Automated building extraction using satellite remote sensing imagery
Automatic extraction of buildings from remote sensing images plays a critical role in urban
planning and digital city construction applications. In real-world applications, however, real …
planning and digital city construction applications. In real-world applications, however, real …
Semantic segmentation of seagrass habitat from drone imagery based on deep learning: A comparative study
E Jeon, S Kim, S Park, J Kwak, I Choi - Ecological Informatics, 2021 - Elsevier
In this study, the utilization of drone images and deep learning to monitor the seagrass
habitat, which is important in the marine ecosystem, is evaluated. Two experiments were …
habitat, which is important in the marine ecosystem, is evaluated. Two experiments were …
Oil palm plantation map** from high-resolution remote sensing images using deep learning
Oil palm plantation map** is an important task in land planning and management in
Malaysia. Most existing studies were based on satellite images using traditional machine …
Malaysia. Most existing studies were based on satellite images using traditional machine …
Super-resolution integrated building semantic segmentation for multi-source remote sensing imagery
Multi-source remote sensing imagery has become widely accessible owing to the
development of data acquisition systems. In this paper, we address the challenging task of …
development of data acquisition systems. In this paper, we address the challenging task of …
A framework for automatic building detection from low-contrast satellite images
Building detection in satellite images has been considered an essential field of research in
remote sensing and computer vision. There are currently numerous techniques and …
remote sensing and computer vision. There are currently numerous techniques and …