Detecting building changes with off-nadir aerial images

[1]  Guisong Xia,et al.  Accurate Polygonal Mapping of Buildings in Satellite Imagery , 2022, ArXiv.

[2]  Wen Yang,et al.  Learning to Extract Building Footprints from Off-Nadir Aerial Images , 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Vishal M. Patel,et al.  A Transformer-Based Siamese Network for Change Detection , 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

[4]  Zhenwei Shi,et al.  Remote Sensing Image Change Detection With Transformers , 2021, IEEE Transactions on Geoscience and Remote Sensing.

[5]  Gui-Song Xia,et al.  Asymmetric Siamese Networks for Semantic Change Detection in Aerial Images , 2022, IEEE Transactions on Geoscience and Remote Sensing.

[6]  Xinchang Zhang,et al.  Fine-Grained Building Change Detection From Very High-Spatial-Resolution Remote Sensing Images Based on Deep Multitask Learning , 2022, IEEE Geoscience and Remote Sensing Letters.

[7]  Dahua Lin,et al.  3D Building Reconstruction from Monocular Remote Sensing Images , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

[8]  Quoc V. Le,et al.  Multi-Task Self-Training for Learning General Representations , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

[9]  Y. Zhong,et al.  Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

[10]  Donghai Xie,et al.  S2Looking: A Satellite Side-Looking Dataset for Building Change Detection , 2021, Remote. Sens..

[11]  Morteza Esfandiari,et al.  Building Change Detection in Off-Nadir Images Using Deep Learning , 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

[12]  Guisheng Liao,et al.  SAR image change detection method based on PPNN , 2021, Science China Information Sciences.

[13]  Minchi Kuang,et al.  Surface-to-air missile sites detection agent with remote sensing images , 2021, Science China Information Sciences.

[14]  Adam Van Etten,et al.  The Multi-Temporal Urban Development SpaceNet Dataset , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[15]  Xiaomeng Zhang,et al.  Building Change Detection for Remote Sensing Images Using a Dual-Task Constrained Deep Siamese Convolutional Network Model , 2019, IEEE Geoscience and Remote Sensing Letters.

[16]  Peng Yue,et al.  A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images , 2020 .

[17]  Hao Chen,et al.  A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection , 2020, Remote. Sens..

[18]  M. Datcu,et al.  Special focus on deep learning in remote sensing image processing , 2020, Science China Information Sciences.

[19]  Qing Li,et al.  Mask-CDNet: A mask based pixel change detection network , 2020, Neurocomputing.

[20]  Ross B. Girshick,et al.  Mask R-CNN , 2017, 1703.06870.

[21]  Valero Laparra,et al.  Kernel Anomalous Change Detection for Remote Sensing Imagery , 2019, IEEE Transactions on Geoscience and Remote Sensing.

[22]  Yang Long,et al.  Learning RoI Transformer for Oriented Object Detection in Aerial Images , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[23]  Howie Choset,et al.  xBD: A Dataset for Assessing Building Damage from Satellite Imagery , 2019, ArXiv.

[24]  Alexandre Boulch,et al.  Multitask learning for large-scale semantic change detection , 2018, Comput. Vis. Image Underst..

[25]  Meng Lu,et al.  Fully Convolutional Networks for Multisource Building Extraction From an Open Aerial and Satellite Imagery Data Set , 2019, IEEE Transactions on Geoscience and Remote Sensing.

[26]  Alexandre Boulch,et al.  Fully Convolutional Siamese Networks for Change Detection , 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

[27]  Jie Chen,et al.  Improving Building Change Detection in VHR Remote Sensing Imagery by Combining Coarse Location and Co-Segmentation , 2018, ISPRS Int. J. Geo Inf..

[28]  Sébastien Ourselin,et al.  Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations , 2017, DLMIA/ML-CDS@MICCAI.

[29]  Ryosuke Nakamura,et al.  Damage detection from aerial images via convolutional neural networks , 2017, 2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA).

[30]  Serge J. Belongie,et al.  Arbitrary Style Transfer in Real-Time with Adaptive Instance Normalization , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

[31]  Xiaogang Wang,et al.  Pyramid Scene Parsing Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[32]  Zerui Li,et al.  A networked remote sensing system for on-road vehicle emission monitoring , 2017, Science China Information Sciences.

[33]  Lei Deng,et al.  Building change detection with RGB-D map generated from UAV images , 2016, Neurocomputing.

[34]  Luca Bertinetto,et al.  Fully-Convolutional Siamese Networks for Object Tracking , 2016, ECCV Workshops.

[35]  Jian Sun,et al.  Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[36]  Mohammad Awrangjeb,et al.  Effective Generation and Update of a Building Map Database Through Automatic Building Change Detection from LiDAR Point Cloud Data , 2015, Remote. Sens..

[37]  Trevor Darrell,et al.  Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[38]  Julie Delon,et al.  Change detection for high resolution satellite images, based on SIFT descriptors and an a contrario approach , 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

[39]  Z. Tian,et al.  Object registration for remote sensing images using robust kernel pattern vectors , 2012, Science China Information Sciences.

[40]  Frank E. Horton,et al.  Urban-change detection systems: Remote-sensing inputs , 1972 .