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Building Extraction With Vision Transformer [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2022 Submitted to ...
Rui Li, Rui Li, Shenghui Fang
exaly +3 more sources
Remote Sensing, 2020 Building extraction from high-resolution remote sensing images is of great significance in urban planning, population statistics, and economic forecast. However, automatic building extraction from high-resolution remote sensing images remains challenging.
Zhenfeng Shao +5 more
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Building Extraction from Remote Sensing Images with Sparse Token Transformers
Remote Sensing, 2021 Deep learning methods have achieved considerable progress in remote sensing image building extraction. Most building extraction methods are based on Convolutional Neural Networks (CNN). Recently, vision transformers have provided a better perspective for
Keyan Chen, Zhengxia Zou, Zhenwei Shi
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JointNet: A Common Neural Network for Road and Building Extraction
Remote Sensing, 2019 Automatic extraction of ground objects is fundamental for many applications of remote sensing. It is valuable to extract different kinds of ground objects effectively by using a general method.
Zhengxin Zhang, Yunhong Wang
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Heliyon, 2023 Photoaging is the main form of external skin aging, and ultraviolet radiation is the main cause. Long-term ultraviolet radiation can cause oxidative stress, inflammation, immune responses, and skin cell apoptosis.
Liping Qu, Feifei Wang, Xiao Ma
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Building Extraction from Airborne LiDAR Data Based on Multi-Constraints Graph Segmentation
Remote Sensing, 2021 Building extraction from airborne Light Detection and Ranging (LiDAR) point clouds is a significant step in the process of digital urban construction.
Zhenyang Hui +4 more
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Information extraction framework to build legislation network [PDF]
Artificial Intelligence and Law, 2020 This paper concerns an Information Extraction process for building a dynamic Legislation Network from legal documents. Unlike supervised learning approaches which require additional calculations, the idea here is to apply Information Extraction methodologies by identifying distinct expressions in legal text and extract quality network information.
Neda Sakhaee, Mark C. Wilson
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Applied Sciences, 2022 Building extraction from high spatial resolution imagery (HSRI) plays an important role in the remotely sensed imagery application fields. However, automatically extracting buildings from HSRI is still a challenging task due to such factors as large size
Hua Zhao, Hua Zhang, Xiangcheng Zheng
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Extracting Build Changes with BUILDDIFF [PDF]
2017 IEEE/ACM 14th International Conference on Mining Software Repositories (MSR), 2017 Accepted at the International Conference of Mining Software Repositories (MSR ...
Christian Macho +2 more
openaire +3 more sources
Remote Sensing, 2022 Deep convolutional neural network (DCNN)-based methods have shown great improvements in building extraction from high spatial resolution remote sensing images.
Haiping Yang +4 more
doaj +1 more source