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Quickest change detection in statistically periodic processes with unknown post-change distribution
Quickest change detection in statistically periodic processes with unknown post-change distribution
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Quickest change detection in statistically periodic processes with unknown post-change distribution

Oleyaeimotlagh, Yousef ; Banerjee, Taposh ; Taha, Ahmad ; John, Eugene

Sequential analysis, 2023, Vol.42 (4), p.404-437 [Periódico revisado por pares]

Philadelphia: Taylor & Francis

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2
Deep Learning-Based Change Detection in Remote Sensing Images: A Review
Deep Learning-Based Change Detection in Remote Sensing Images: A Review
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Deep Learning-Based Change Detection in Remote Sensing Images: A Review

Shafique, Ayesha ; Cao, Guo ; Khan, Zia ; Asad, Muhammad ; Aslam, Muhammad

Remote sensing (Basel, Switzerland), 2022-02, Vol.14 (4), p.871 [Periódico revisado por pares]

Basel: MDPI AG

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3
Accurate 3D comparison of complex topography with terrestrial laser scanner: Application to the Rangitikei canyon (N-Z)
Accurate 3D comparison of complex topography with terrestrial laser scanner: Application to the Rangitikei canyon (N-Z)
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Accurate 3D comparison of complex topography with terrestrial laser scanner: Application to the Rangitikei canyon (N-Z)

Lague, Dimitri ; Brodu, Nicolas ; Leroux, Jérôme

ISPRS journal of photogrammetry and remote sensing, 2013-08, Vol.82, p.10-26 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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4
ESDSCNet: an enhanced shallow feature difference and semantic context network for remote sensing change detection: with building change detection as a case
ESDSCNet: an enhanced shallow feature difference and semantic context network for remote sensing change detection: with building change detection as a case
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ESDSCNet: an enhanced shallow feature difference and semantic context network for remote sensing change detection: with building change detection as a case

Du, Tongyao ; Ming, Dongping ; Gu, Haiyan ; Fang, Kun ; Xu, Lu ; Dong, Dehui ; Zhang, Yu ; Liu, Luheng

International journal of remote sensing, 2023-06, Vol.44 (12), p.3726-3752 [Periódico revisado por pares]

London: Taylor & Francis

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5
Temporal difference-guided network for hyperspectral image change detection
Temporal difference-guided network for hyperspectral image change detection
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Temporal difference-guided network for hyperspectral image change detection

Chen, Zhonghao ; Wang, Yuyang ; Gao, Hongmin ; Ding, Yao ; Zhong, Qiqiang ; Hong, Danfeng ; Zhang, Bing

International journal of remote sensing, 2023-10, Vol.44 (19), p.6033-6059 [Periódico revisado por pares]

London: Taylor & Francis

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6
Feature alignment and refinement for Remote Sensing images change Detection
Feature alignment and refinement for Remote Sensing images change Detection
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Feature alignment and refinement for Remote Sensing images change Detection

Liu, Yikun ; Li, Mingsong ; Xiao, Tao ; Huang, Yuwen ; Yang, Gongping

International journal of remote sensing, 2023-12, Vol.44 (24), p.7827-7856 [Periódico revisado por pares]

London: Taylor & Francis

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7
Object-Based Change Detection in Urban Areas from High Spatial Resolution Images Based on Multiple Features and Ensemble Learning
Object-Based Change Detection in Urban Areas from High Spatial Resolution Images Based on Multiple Features and Ensemble Learning
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Object-Based Change Detection in Urban Areas from High Spatial Resolution Images Based on Multiple Features and Ensemble Learning

Wang, Xin ; Liu, Sicong ; Du, Peijun ; Liang, Hao ; Xia, Junshi ; Li, Yunfeng

Remote sensing (Basel, Switzerland), 2018-02, Vol.10 (2), p.276 [Periódico revisado por pares]

Basel: MDPI AG

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8
Hybrid transformer-CNN networks using superpixel segmentation for remote sensing building change detection
Hybrid transformer-CNN networks using superpixel segmentation for remote sensing building change detection
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Hybrid transformer-CNN networks using superpixel segmentation for remote sensing building change detection

Liang, Shike ; Hua, Zhen ; Li, Jinjiang

International journal of remote sensing, 2023-04, Vol.44 (8), p.2754-2780 [Periódico revisado por pares]

London: Taylor & Francis

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9
GCN-based multi-scale dual fusion for remote sensing building change detection
GCN-based multi-scale dual fusion for remote sensing building change detection
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GCN-based multi-scale dual fusion for remote sensing building change detection

Liang, Shike ; Hua, Zhen ; Li, Jinjiang

International journal of remote sensing, 2023-02, Vol.44 (3), p.953-980 [Periódico revisado por pares]

London: Taylor & Francis

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10
EMS-CDNet: an efficient multi-scale-fusion change detection network for very high-resolution remote sensing images
EMS-CDNet: an efficient multi-scale-fusion change detection network for very high-resolution remote sensing images
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EMS-CDNet: an efficient multi-scale-fusion change detection network for very high-resolution remote sensing images

Zheng, Zhi ; Wan, Yi ; Zhang, Yongjun ; Yang, Kun ; Xiao, Rang ; Lin, Chao ; Wu, Qiong ; Peng, Daifeng

International journal of remote sensing, 2022-07, Vol.43 (14), p.5252-5279 [Periódico revisado por pares]

London: Taylor & Francis

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