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A Convolutional Neural Network Approach for Assisting Avalanche Search and Rescue Operations with UAV Imagery
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A Convolutional Neural Network Approach for Assisting Avalanche Search and Rescue Operations with UAV Imagery

Bejiga, Mesay Belete ; Zeggada, Abdallah ; Nouffidj, Abdelhamid ; Melgani, Farid

Remote sensing (Basel, Switzerland), 2017, Vol.9 (2), p.100-100 [Periódico revisado por pares]

Basel: MDPI AG

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END-TO-END DEPTH FROM MOTION WITH STABILIZED MONOCULAR VIDEOS
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END-TO-END DEPTH FROM MOTION WITH STABILIZED MONOCULAR VIDEOS

Pinard, C. ; Chevalley, L. ; Manzanera, A. ; Filliat, D.

ISPRS annals of the photogrammetry, remote sensing and spatial information sciences, 2017-01, Vol.IV-2/W3, p.67-74 [Periódico revisado por pares]

Gottingen: Copernicus GmbH

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REAL-TIME BLOB-WISE SUGAR BEETS VS WEEDS CLASSIFICATION FOR MONITORING FIELDS USING CONVOLUTIONAL NEURAL NETWORKS
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REAL-TIME BLOB-WISE SUGAR BEETS VS WEEDS CLASSIFICATION FOR MONITORING FIELDS USING CONVOLUTIONAL NEURAL NETWORKS

Milioto, A. ; Lottes, P. ; Stachniss, C.

ISPRS annals of the photogrammetry, remote sensing and spatial information sciences, 2017-08, Vol.IV-2/W3, p.41-48 [Periódico revisado por pares]

Gottingen: Copernicus GmbH

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Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community
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Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community

Ball, John E ; Anderson, Derek T ; Chan, Chee Seng

Journal of applied remote sensing, 2017-09, Vol.11 (4), p.042609-042609 [Periódico revisado por pares]

Society of Photo-Optical Instrumentation Engineers

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5
Local Deep Hashing Matching of Aerial Images Based on Relative Distance and Absolute Distance Constraints
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Local Deep Hashing Matching of Aerial Images Based on Relative Distance and Absolute Distance Constraints

Chen, Suting ; Li, Xin ; Zhang, Yanyan ; Feng, Rui ; Zhang, Chuang

Remote sensing (Basel, Switzerland), 2017-12, Vol.9 (12), p.1244 [Periódico revisado por pares]

Basel: MDPI AG

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Deep learning for smart agriculture: Concepts, tools, applications, and opportunities
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Deep learning for smart agriculture: Concepts, tools, applications, and opportunities

Zhu, Nanyang ; Liu, Xu ; Liu, Ziqian ; Hu, Kai ; Wang, Yingkuan ; Tan, Jinglu ; Huang, Min ; Zhu, Qibing ; Ji, Xunsheng ; Jiang, Yongnian ; Guo, Ya

International journal of agricultural and biological engineering, 2018-07, Vol.11 (4), p.21-28 [Periódico revisado por pares]

Beijing: International Journal of Agricultural and Biological Engineering (IJABE)

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7
Landscape Classification with Deep Neural Networks
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Landscape Classification with Deep Neural Networks

Buscombe, Daniel ; Ritchie, Andrew C.

Geosciences (Basel), 2018-07, Vol.8 (7), p.244 [Periódico revisado por pares]

Basel: MDPI AG

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8
Road Extraction from High-Resolution Remote Sensing Imagery Using Deep Learning
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Road Extraction from High-Resolution Remote Sensing Imagery Using Deep Learning

Xu, Yongyang ; Xie, Zhong ; Feng, Yaxing ; Chen, Zhanlong

Remote sensing (Basel, Switzerland), 2018-09, Vol.10 (9), p.1461 [Periódico revisado por pares]

Basel: MDPI AG

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Mapping Paddy Rice Using a Convolutional Neural Network (CNN) with Landsat 8 Datasets in the Dongting Lake Area, China
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Mapping Paddy Rice Using a Convolutional Neural Network (CNN) with Landsat 8 Datasets in the Dongting Lake Area, China

Zhang, Meng ; Lin, Hui ; Wang, Guangxing ; Sun, Hua ; Fu, Jing

Remote sensing (Basel, Switzerland), 2018-11, Vol.10 (11), p.1840 [Periódico revisado por pares]

Basel: MDPI AG

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Sparse Cost Volume for Efficient Stereo Matching
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Sparse Cost Volume for Efficient Stereo Matching

Lu, Chuanhua ; Uchiyama, Hideaki ; Thomas, Diego ; Shimada, Atsushi ; Taniguchi, Rin-ichiro

Remote sensing (Basel, Switzerland), 2018-11, Vol.10 (11), p.1844 [Periódico revisado por pares]

Basel: MDPI AG

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