24.2.2.1.1 Building Change Detection

Chapter Contents (Back)
Remote Sensing. Registration. Change Detection. Building Change. Aerial Image Analysis. Site Models:
See also Site Model Change Detection, Map Update.
See also Change Detection -- Image Level.
See also Building Extraction, Analysis and Detection Systems, Multi-View.
See also Point Cloud Change Detection, Registration.

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Change detection, 3D city model, Building, LiDAR data, VHR images, Dense matching BibRef

Javadi, S.[Saleh], Dahl, M.[Mattias], Pettersson, M.I.[Mats I.],
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Looking for Change? Roll the Dice and Demand Attention,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
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Xue, J.K.[Jun-Kang], Xu, H.[Hao], Yang, H.[Hui], Wang, B.[Biao], Wu, P.[Penghai], Choi, J.[Jaewan], Cai, L.X.[Li-Xiao], Wu, Y.[Yanlan],
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Shen, L.[Li], Lu, Y.[Yao], Chen, H.[Hao], Wei, H.[Hao], Xie, D.H.[Dong-Hai], Yue, J.[Jiabao], Chen, R.[Rui], Lv, S.[Shouye], Jiang, B.[Bitao],
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Building Change Detection Based on 3D Co-Segmentation Using Satellite Stereo Imagery,
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Ye, Y.X.[Yuan-Xin], Zhou, L.[Liang], Zhu, B.[Bai], Yang, C.[Chao], Sun, M.M.[Miao-Miao], Fan, J.W.[Jian-Wei], Fu, Z.T.[Zhi-Tao],
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Elsevier DOI 2206
Building change detection, High frequency enhancement, Spatial-wise attention, Convolutional neural network BibRef

Shen, Q.[Qian], Huang, J.[Jiru], Wang, M.[Min], Tao, S.[Shikang], Yang, R.[Rui], Zhang, X.[Xin],
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Elsevier DOI 2206
Multitask learning, Height displacement, High-spatial-resolution remote sensing, Siamese network BibRef

Aliabad, F.A.[Fahime Arabi], Malamiri, H.R.G.[Hamid Reza Ghafarian], Shojaei, S.[Saeed], Sarsangi, A.[Alireza], Ferreira, C.S.S.[Carla Sofia Santos], Kalantari, Z.[Zahra],
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MDESNet: Multitask Difference-Enhanced Siamese Network for Building Change Detection in High-Resolution Remote Sensing Images,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
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Chen, Z.L.[Zhan-Long], Zhou, Y.[Yuan], Wang, B.[Bin], Xu, X.W.[Xu-Wei], He, N.[Nan], Jin, S.[Shuai], Jin, S.[Shenrui],
EGDE-Net: A building change detection method for high-resolution remote sensing imagery based on edge guidance and differential enhancement,
PandRS(191), 2022, pp. 203-222.
Elsevier DOI 2208
Building change detection, Transformer, Edge guidance, Feature fusion BibRef

Xu, X.[Xuwei], Zhou, Y.[Yuan], Lu, X.[Xiechun], Chen, Z.L.[Zhan-Long],
FERA-Net: A Building Change Detection Method for High-Resolution Remote Sensing Imagery Based on Residual Attention and High-Frequency Features,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
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Zhang, J.[Jian], Pan, B.[Bin], Zhang, Y.[Yu], Liu, Z.L.[Zhang-Le], Zheng, X.[Xin],
Building Change Detection in Remote Sensing Images Based on Dual Multi-Scale Attention,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
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Xu, C.[Chuan], Ye, Z.Y.[Zhao-Yi], Mei, L.[Liye], Shen, S.[Sen], Zhang, Q.[Qi], Sui, H.G.[Hai-Gang], Yang, W.[Wei], Sun, S.H.[Shao-Hua],
SCAD: A Siamese Cross-Attention Discrimination Network for Bitemporal Building Change Detection,
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Hu, X.B.[Xian-Bin], Wu, W.[Wei], Li, Z.[Zhu], Luo, X.L.[Xue-Liang], Chen, Z.F.[Zheng-Feng],
Two-Stage Tripletnet: Light Weight Remote Sensing Scene Classification,
ICIP24(2341-2346)
IEEE DOI 2411
Visualization, Scene classification, Adaptation models, Accuracy, Semantics, Network architecture, Sampling methods, Triplet Loss BibRef

Yang, H.P.[Hai-Ping], Chen, Y.Y.[Yuan-Yuan], Wu, W.[Wei], Pu, S.L.[Shi-Liang], Wu, X.Y.[Xiao-Yang], Wan, Q.M.[Qi-Ming], Dong, W.[Wen],
A Lightweight Siamese Neural Network for Building Change Detection Using Remote Sensing Images,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
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Xu, C.[Chuan], Ye, Z.Y.[Zhao-Yi], Mei, L.[Liye], Yang, W.[Wei], Hou, Y.Y.[Ying-Ying], Shen, S.[Sen], Ouyang, W.[Wei], Ye, Z.W.[Zhi-Wei],
Progressive Context-Aware Aggregation Network Combining Multi-Scale and Multi-Level Dense Reconstruction for Building Change Detection,
RS(15), No. 8, 2023, pp. 1958.
DOI Link 2305
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Li, Y.[Yute], Chen, H.[He], Dong, S.[Shan], Zhuang, Y.[Yin], Li, L.L.[Lian-Lin],
Multi-Temporal SamplePair Generation for Building Change Detection Promotion in Optical Remote Sensing Domain Based on Generative Adversarial Network,
RS(15), No. 9, 2023, pp. xx-yy.
DOI Link 2305
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Huang, L.[Liang], Tian, Q.Y.[Qiu-Yuan], Tang, B.H.[Bo-Hui], Le, W.P.[Wei-Peng], Wang, M.[Min], Ma, X.[Xianguang],
Siam-EMNet: A Siamese EfficientNet-MANet Network for Building Change Detection in Very High Resolution Images,
RS(15), No. 16, 2023, pp. 3972.
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Zhang, H.C.[Huang-Chuang], Li, G.[Ge],
A Digital Grid Model for Complex Time-Varying Environments in Civil Engineering Buildings,
RS(15), No. 16, 2023, pp. 4037.
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Chen, Y.[Yao], Zhang, J.[Jindou], Shao, Z.F.[Zhen-Feng], Huang, X.[Xiao], Ding, Q.[Qing], Li, X.[Xianyi], Huang, Y.[Youju],
A Siamese Multiscale Attention Decoding Network for Building Change Detection on High-Resolution Remote Sensing Images,
RS(15), No. 21, 2023, pp. 5127.
DOI Link 2311
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He, R.J.[Ren-Jie], Li, W.[Wenyao], Mei, S.H.[Shao-Hui], Dai, Y.C.[Yu-Chao], He, M.Y.[Ming-Yi],
EFP-Net: A Novel Building Change Detection Method Based on Efficient Feature Fusion and Foreground Perception,
RS(15), No. 22, 2023, pp. 5268.
DOI Link 2311
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Zhu, Y.P.[Yang-Peng], Fan, L.J.[Li-Juan], Li, Q.Y.[Qian-Yu], Chang, J.[Jing],
Multi-Scale Discrete Cosine Transform Network for Building Change Detection in Very-High-Resolution Remote Sensing Images,
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Fuentes-Reyes, M.[Mario], Xie, Y.X.[Yu-Xing], Yuan, X.T.[Xiang-Tian], d'Angelo, P.[Pablo], Kurz, F.[Franz], Cerra, D.[Daniele], Tian, J.J.[Jiao-Jiao],
A 2D/3D multimodal data simulation approach with applications on urban semantic segmentation, building extraction and change detection,
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Elsevier DOI Code:
WWW Link. 2311
3D change detection, Building extraction, Urban semantic segmentation, Synthetic datasets BibRef

Feng, W.Q.[Wen-Qing], Guan, F.[Fangli], Tu, J.H.[Ji-Hui], Sun, C.H.[Chen-Hao], Xu, W.[Wei],
Detection of Changes in Buildings in Remote Sensing Images via Self-Supervised Contrastive Pre-Training and Historical Geographic Information System Vector Maps,
RS(15), No. 24, 2023, pp. 5670.
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Chen, P.[Peng], Lin, J.X.[Jin-Xin], Zhao, Q.[Qing], Zhou, L.[Lei], Yang, T.L.[Tian-Liang], Huang, X.L.[Xin-Lei], Wu, J.Z.[Jian-Zhong],
ADF-Net: An Attention-Guided Dual-Branch Fusion Network for Building Change Detection near the Shanghai Metro Line Using Sequences of TerraSAR-X Images,
RS(16), No. 6, 2024, pp. 1070.
DOI Link 2403
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Li, Y.L.[Yuan-Ling], Zou, S.Y.[Sheng-Yuan], Zhao, T.Z.[Tian-Zhong], Su, X.H.[Xiao-Hui],
MDFA-Net: Multi-Scale Differential Feature Self-Attention Network for Building Change Detection in Remote Sensing Images,
RS(16), No. 18, 2024, pp. 3466.
DOI Link 2410
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Chen, Z.L.[Zhan-Long], Wang, R.[Rui], Xu, Y.Y.[Yong-Yang],
Semi-Supervised Remote Sensing Building Change Detection with Joint Perturbation and Feature Complementation,
RS(16), No. 18, 2024, pp. 3424.
DOI Link 2410
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Osa, P.I.[Priscilla Indira], Zerubia, J.[Josiane], Kato, Z.[Zoltan],
Gabor Feature Network for Transformer-Based Building Change Detection Model in Remote Sensing,
ICIP24(2501-2507)
IEEE DOI Code:
WWW Link. 2411
Visualization, Codes, Shape, Fuses, Convolution, Buildings, Feature extraction, Transformer, Gabor feature, image analysis BibRef

Song, J.[Jian], Chen, H.[Hongruixuan], Yokoya, N.[Naoto],
SyntheWorld: A Large-Scale Synthetic Dataset for Land Cover Mapping and Building Change Detection,
WACV24(8272-8281)
IEEE DOI Code:
WWW Link. 2404
Solid modeling, Costs, Annotations, Buildings, Land surface BibRef