Top Tweets for #BuildingExtraction
A Dual-Branch Fusion Network Based on Reconstructed Transformer for Building Extraction in Remote Sensing Imagery
https://t.co/QyHcZHKKsq
#buildingextraction
👉 #LiteSTNet: A Hybrid Model of Lite #SwinTransformer and #Convolution for #BuildingExtraction from Remote Sensing Image
✍️ Yuan, W. et al.
📎 https://t.co/K39vDlyk6X
Multi-Modal Feature Fusion Network with Adaptive Center Point Detector for Building Instance Extraction
by Qinglie Yuan and Helmi Zulhaidi Mohd Shafri
#buildingextraction #segmentation #datafusion #LiDAR
Read the full paper: https://t.co/y2oAaa6VHV
#mostdownloaded
🏚️Damaged #BuildingExtraction Using Modified Mask R-CNN Model Using Post-Event #AerialImages of the 2016 Kumamoto Earthquake
by Yihao Zhan, Wen Liu and Yoshihisa Maruyama
https://t.co/E92EgyW2y2
#NaturalDisasters
📡#PolSAR Image #BuildingExtraction with G0 Statistical Texture Using Convolutional Neural Network and Superpixel
by Mei Li, Qikai Shen, Yun Xiao, Xiuguo Liu and Qihao Chen
https://t.co/CRy0hVo7bK
#imageprocessing
#mostdownloaded
EfficientUNet+: A #BuildingExtraction Method for Emergency Shelters Based on #DeepLearning
by Di You, Shixin Wang, Futao Wang, Yi Zhou, Zhenqing Wang, Jingming Wang and Yibing Xiong
https://t.co/dziCfsVkkH
#ComputationalIntelligence
#MostCited
📢Traditional Village #BuildingExtraction Based on Improved Mask R-CNN: A Case Study of Beijing, China by Wenke Wang, Yang Shi, Jie Zhang, Lujin Hu, Shuo Li, Ding He and Fei Liu
https://t.co/tEYGOBKilR
#uav #remotesensing
#mostdownloaded
📢Capsule–Encoder–Decoder: A Method for Generalizable #BuildingExtraction from #RemoteSensing Images by Zhenchao Tang, Calvin Yu-Chian Chen, Chengzhen Jiang, Dongying Zhang, Weiran Luo, Zhiming Hong and Huaiwei Sun
👉Read the full article: https://t.co/7qiqcsXMEI
#mostdownloaded
📢B-FGC-Net: A #BuildingExtraction Network from High Resolution #RemoteSensing Imagery by Yong Wang, Xiangqiang Zeng, Xiaohan Liao and Dafang Zhuang
👉Read the full article: https://t.co/7TaDY8f7VJ
#mostcited
📢#BuildingExtraction from #RemoteSensing Images with Sparse Token Transformers by Keyan Chen, Zhengxia Zou and Zhenwei Shi
👉 Read the full article: https://t.co/qQUsW18ZGr
#mostcited
📢DR-Net: An Improved Network for #BuildingExtraction from High Resolution #RemoteSensing Image by Meng Chen, Jianjun Wu, Leizhen Liu, Wenhui Zhao, Feng Tian, Qiu Shen, Bingyu Zhao and Ruohua Du
👉Read the full article: https://t.co/h3WFBhpkN9
#highlycitedpaper
AGs-Unet: Building Extraction Model for High Resolution Remote Sensing Images Based on Attention Gates U Network
https://t.co/Lujiw6Pl7E
#HighResolutionRemoteSensingImage #BuildingExtraction #WHUDataset #AttentionGatesUNetwork
📢Building Multi-Feature Fusion Refined Network for #BuildingExtraction from High-Resolution #RemoteSensing Images
by Shuhao Ran, Xianjun Gao, Yuanwei Yang and et al.
👉Read the full article: https://t.co/sJzJyFuEf6
#booksMDPI
📚Title: #RemoteSensing Based #BuildingExtraction II
Edited by Dr. Jiaojiao Tian, Prof. Dr. Qin Yan, Dr. Mohammad Awrangjeb, Dr. Beril Kallfelz-Sirmacek and Dr. Nusret Demir
🔗Book link: https://t.co/j9K5xNKoHX
🔗Special issue link: https://t.co/oFZ2CZQWrT
#mostcited
📢 Boundary-Assisted Learning for #BuildingExtraction from Optical #RemoteSensingImagery
by Sheng He and Wanshou Jiang
🔗 Read the full article: https://t.co/nwWnS8v5zq
https://t.co/cX0XzcwdFe
Check out my thesis paper on #DeepLearning & #RemoteSensing! "#BuildingExtraction from #RGB #Satellite Images using Deep Learning: A #UNet Approach" #AI #ML #GeoData
#highlycitedpaper
AGs-Unet: Building Extraction Model for High Resolution Remote Sensing Images Based on Attention Gates U Network
https://t.co/nhwDPszLcG
#DeepLearning #RemoteSensing #BuildingExtraction;
🔔 New article:
Hu et. al. propose a feature self-attention U-block network, FSAU-Net, designed for the #extraction of buildings from high resolution, remote sensing imagery.
🔗 https://t.co/LIPukHMMdQ
#IJRS #RemoteSensing #BuildingExtraction #SpatialAttention
#Building Extraction from #Airborne #LiDAR #Data Based on Min-Cut and Improved Post-Processing
by Ke Liu, Hongchao Ma, Haichi Ma, Zhan Cai and Liang Zhang
👉https://t.co/r0aXwwXq8C
#LiDAR
#buildingextraction
#vegetation
#remotesensing
Super-Resolution-Based #Snake Model—An #UnsupervisedMethod for Large-Scale #Building Extraction Using #Airborne #LiDAR Data and #Optical Image
by Thanh Huy Nguyen, Sylvie Daniel, et al
👉 https://t.co/fE5JTU7HIX
#lidar #buildingextraction #opticalimagery #remotesensing
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