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A review on deep learning in UAV remote sensing
A review on deep learning in UAV remote sensing
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A review on deep learning in UAV remote sensing

Osco, Lucas Prado ; Marcato Junior, José ; Marques Ramos, Ana Paula ; de Castro Jorge, Lúcio André ; Fatholahi, Sarah Narges ; de Andrade Silva, Jonathan ; Matsubara, Edson Takashi ; Pistori, Hemerson ; Gonçalves, Wesley Nunes ; Li, Jonathan

International journal of applied earth observation and geoinformation, 2021-10, Vol.102, p.102456, Article 102456 [Periódico revisado por pares]

Elsevier B.V

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SUACDNet: Attentional change detection network based on siamese U-shaped structure
SUACDNet: Attentional change detection network based on siamese U-shaped structure
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SUACDNet: Attentional change detection network based on siamese U-shaped structure

Song, Lei ; Xia, Min ; Jin, Junlan ; Qian, Ming ; Zhang, Yonghong

International journal of applied earth observation and geoinformation, 2021-12, Vol.105, p.102597, Article 102597 [Periódico revisado por pares]

Elsevier B.V

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Improved estimation of leaf area index and leaf chlorophyll content of a potato crop using multi-angle spectral data – potential of unmanned aerial vehicle imagery
Improved estimation of leaf area index and leaf chlorophyll content of a potato crop using multi-angle spectral data – potential of unmanned aerial vehicle imagery
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Improved estimation of leaf area index and leaf chlorophyll content of a potato crop using multi-angle spectral data – potential of unmanned aerial vehicle imagery

Roosjen, Peter P.J. ; Brede, Benjamin ; Suomalainen, Juha M. ; Bartholomeus, Harm M. ; Kooistra, Lammert ; Clevers, Jan G.P.W.

International journal of applied earth observation and geoinformation, 2018-04, Vol.66, p.14-26 [Periódico revisado por pares]

Elsevier B.V

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4
A dual-branch weakly supervised learning based network for accurate mapping of woody vegetation from remote sensing images
A dual-branch weakly supervised learning based network for accurate mapping of woody vegetation from remote sensing images
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A dual-branch weakly supervised learning based network for accurate mapping of woody vegetation from remote sensing images

Cheng, Youwei ; Lan, Shaocheng ; Fan, Xijian ; Tjahjadi, Tardi ; Jin, Shichao ; Cao, Lin

International journal of applied earth observation and geoinformation, 2023-11, Vol.124, p.103499, Article 103499 [Periódico revisado por pares]

Elsevier B.V

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5
A simple and effective spectral-spatial method for mapping large-scale coastal wetlands using China ZY1-02D satellite hyperspectral images
A simple and effective spectral-spatial method for mapping large-scale coastal wetlands using China ZY1-02D satellite hyperspectral images
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A simple and effective spectral-spatial method for mapping large-scale coastal wetlands using China ZY1-02D satellite hyperspectral images

Sun, Weiwei ; Liu, Kai ; Ren, Guangbo ; Liu, Weiwei ; Yang, Gang ; Meng, Xiangchao ; Peng, Jiangtao

International journal of applied earth observation and geoinformation, 2021-12, Vol.104, p.102572, Article 102572 [Periódico revisado por pares]

Elsevier B.V

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6
Adaboost-like End-to-End multiple lightweight U-nets for road extraction from optical remote sensing images
Adaboost-like End-to-End multiple lightweight U-nets for road extraction from optical remote sensing images
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Adaboost-like End-to-End multiple lightweight U-nets for road extraction from optical remote sensing images

Chen, Ziyi ; Wang, Cheng ; Li, Jonathan ; Fan, Wentao ; Du, Jixiang ; Zhong, Bineng

International journal of applied earth observation and geoinformation, 2021-08, Vol.100, p.102341, Article 102341 [Periódico revisado por pares]

Elsevier B.V

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7
Cotton yield estimation model based on machine learning using time series UAV remote sensing data
Cotton yield estimation model based on machine learning using time series UAV remote sensing data
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Cotton yield estimation model based on machine learning using time series UAV remote sensing data

Xu, Weicheng ; Chen, Pengchao ; Zhan, Yilong ; Chen, Shengde ; Zhang, Lei ; Lan, Yubin

International journal of applied earth observation and geoinformation, 2021-12, Vol.104, p.102511, Article 102511 [Periódico revisado por pares]

Elsevier B.V

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8
Measuring land-use and land-cover change using the U.S. department of agriculture’s cropland data layer: Cautions and recommendations
Measuring land-use and land-cover change using the U.S. department of agriculture’s cropland data layer: Cautions and recommendations
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Measuring land-use and land-cover change using the U.S. department of agriculture’s cropland data layer: Cautions and recommendations

Lark, Tyler J. ; Mueller, Richard M. ; Johnson, David M. ; Gibbs, Holly K.

International journal of applied earth observation and geoinformation, 2017-10, Vol.62, p.224-235 [Periódico revisado por pares]

Elsevier B.V

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9
A multi-level context-guided classification method with object-based convolutional neural network for land cover classification using very high resolution remote sensing images
A multi-level context-guided classification method with object-based convolutional neural network for land cover classification using very high resolution remote sensing images
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A multi-level context-guided classification method with object-based convolutional neural network for land cover classification using very high resolution remote sensing images

Zhang, Chenxiao ; Yue, Peng ; Tapete, Deodato ; Shangguan, Boyi ; Wang, Mi ; Wu, Zhaoyan

International journal of applied earth observation and geoinformation, 2020-06, Vol.88, p.102086, Article 102086 [Periódico revisado por pares]

Elsevier B.V

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10
Real-time remote sensing detection framework of the earth's surface anomalies based on a priori knowledge base
Real-time remote sensing detection framework of the earth's surface anomalies based on a priori knowledge base
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Real-time remote sensing detection framework of the earth's surface anomalies based on a priori knowledge base

Wei, Haishuo ; Jia, Kun ; Wang, Qiao ; Cao, Biao ; Qi, Jianbo ; Zhao, Wenzhi ; Yang, Jianwei

International journal of applied earth observation and geoinformation, 2023-08, Vol.122, p.103429, Article 103429 [Periódico revisado por pares]

Elsevier B.V

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