A Robust Gradient Based Method for Building Extraction from LiDAR and Photogrammetric Imagery [PDF]
Sensors, 2016 Existing automatic building extraction methods are not effective in extracting buildings which are small in size and have transparent roofs. The application of large area threshold prohibits detection of small buildings and the use of ground points in ...
Fasahat Ullah Siddiqui +3 more
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Cropland encroachment detection via dual attention and multi-loss based building extraction in remote sensing images [PDF]
Frontiers in Plant Science, 2022 The United Nations predicts that by 2050, the world’s total population will increase to 9.15 billion, but the per capita cropland will drop to 0.151°hm2.
Junshu Wang +5 more
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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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A Building Extraction Method for High-Resolution Remote Sensing Images with Multiple Attentions and Parallel Encoders Combining Enhanced Spectral Information [PDF]
SensorsAccurately extracting pixel-level buildings from high-resolution remote sensing images is significant for various geographical information applications. Influenced by different natural, cultural, and social development levels, buildings may vary in shape
Zhaojun Pang +5 more
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Building Extraction Based on U-Net with an Attention Block and Multiple Losses
Remote Sensing, 2020 Semantic segmentation of high-resolution remote sensing images plays an important role in applications for building extraction. However, the current algorithms have some semantic information extraction limitations, and these can lead to poor segmentation
Mingqiang Guo +3 more
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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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DE-Net: Deep Encoding Network for Building Extraction from High-Resolution Remote Sensing Imagery
Remote Sensing, 2019 Deep convolutional neural networks have promoted significant progress in building extraction from high-resolution remote sensing imagery. Although most of such work focuses on modifying existing image segmentation networks in computer vision, we propose ...
Hao Liu +7 more
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Building Extraction With Vision Transformer [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2022 Submitted to ...
Libo Wang +3 more
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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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