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Aerial-trained deep learning networks for surveying cetaceans from satellite imagery
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Aerial-trained deep learning networks for surveying cetaceans from satellite imagery

Borowicz, Alex ; Le, Hieu ; Humphries, Grant ; Nehls, Georg ; Höschle, Caroline ; Kosarev, Vladislav ; Lynch, Heather J Pławiak, Paweł

PloS one, 2019-10, Vol.14 (10), p.e0212532-e0212532 [Periódico revisado por pares]

United States: Public Library of Science

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Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities
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Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities

Cheng, Gong ; Xie, Xingxing ; Han, Junwei ; Guo, Lei ; Xia, Gui-Song

IEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.3735-3756 [Periódico revisado por pares]

Piscataway: IEEE

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3
Evaluation of an autonomous acoustic surveying technique for grassland bird communities in Nebraska
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Evaluation of an autonomous acoustic surveying technique for grassland bird communities in Nebraska

Schuster, Grace E ; Walston, Leroy J ; Little, Andrew R Zhang, Yuan

PloS one, 2024-07, Vol.19 (7), p.e0306580 [Periódico revisado por pares]

San Francisco: Public Library of Science

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4
A Comprehensive Comparison of Photogrammetric and RTK-GPS Methods for General Order Land Surveying
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A Comprehensive Comparison of Photogrammetric and RTK-GPS Methods for General Order Land Surveying

Furby, Blake ; Akhavian, Reza

Buildings (Basel), 2024-06, Vol.14 (6), p.1863 [Periódico revisado por pares]

Basel: MDPI AG

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5
THE APPLICABILITY OF LOW-COST MULTI-FREQUENCY MULTI-GNSS RECEIVERS FOR GEODETIC CONTROL SURVEYING
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THE APPLICABILITY OF LOW-COST MULTI-FREQUENCY MULTI-GNSS RECEIVERS FOR GEODETIC CONTROL SURVEYING

Mercurio, M. ; Reyes, R.

International archives of the photogrammetry, remote sensing and spatial information sciences., 2024-04, Vol.XLVIII-4/W8-2023, p.371-377 [Periódico revisado por pares]

Gottingen: Copernicus GmbH

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6
Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects
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Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects

Ahmad, Muhammad ; Shabbir, Sidrah ; Roy, Swalpa Kumar ; Hong, Danfeng ; Wu, Xin ; Yao, Jing ; Khan, Adil Mehmood ; Mazzara, Manuel ; Distefano, Salvatore ; Chanussot, Jocelyn

IEEE journal of selected topics in applied earth observations and remote sensing, 2022, Vol.15, p.968-999 [Periódico revisado por pares]

Piscataway: IEEE

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7
Acoustic approach as an alternative to human-based survey in bird biodiversity monitoring in agricultural meadows
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Acoustic approach as an alternative to human-based survey in bird biodiversity monitoring in agricultural meadows

Budka, Michał ; Jobda, Marek ; Szałański, Paweł ; Piórkowski, Hubert Mankin, Richard

PloS one, 2022-04, Vol.17 (4), p.e0266557-e0266557 [Periódico revisado por pares]

United States: Public Library of Science

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8
The diversity and distribution of endophytes across biomes, plant phylogeny and host tissues: how far have we come and where do we go from here?
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The diversity and distribution of endophytes across biomes, plant phylogeny and host tissues: how far have we come and where do we go from here?

Harrison, Joshua G. ; Griffin, Eric A.

Environmental microbiology, 2020-06, Vol.22 (6), p.2107-2123 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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9
Guidelines on the use of structure‐from‐motion photogrammetry in geomorphic research
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Guidelines on the use of structure‐from‐motion photogrammetry in geomorphic research

James, Mike R. ; Chandler, Jim H. ; Eltner, Anette ; Fraser, Clive ; Miller, Pauline E. ; Mills, Jon P. ; Noble, Tom ; Robson, Stuart ; Lane, Stuart N.

Earth surface processes and landforms, 2019-08, Vol.44 (10), p.2081-2084 [Periódico revisado por pares]

Bognor Regis: Wiley Subscription Services, Inc

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10
Low-cost high-performance seafloor surveying by multiple autonomous underwater vehicles
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Low-cost high-performance seafloor surveying by multiple autonomous underwater vehicles

Matsuda, Takumi

Applied ocean research, 2021-12, Vol.117, p.102762, Article 102762 [Periódico revisado por pares]

Barking: Elsevier Ltd

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