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Refinado por: Base de dados/Biblioteca: IngentaConnect Journals remover Nome da Publicação: International Journal Of Remote Sensing remover assunto: Remote Sensing remover Neural Networks remover
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1
A neurocomputing model for SODAR structure classification
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A neurocomputing model for SODAR structure classification

Chandara Deb, Narayan ; Pal, Srimanta ; Chandra Patranabis, Dipak ; Dutta, H. N.

International journal of remote sensing, 2010-04, Vol.31 (11), p.2995-3018 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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2
A novel spectral-spatial multi-scale network for hyperspectral image classification with the Res2Net block
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A novel spectral-spatial multi-scale network for hyperspectral image classification with the Res2Net block

Zhang, Zhongqiang ; Liu, Danhua ; Gao, Dahua ; Shi, Guangming

International journal of remote sensing, 2022-02, Vol.43 (3), p.751-777 [Periódico revisado por pares]

London: Taylor & Francis

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3
A novel vehicle tracking and speed estimation with varying UAV altitude and video resolution
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A novel vehicle tracking and speed estimation with varying UAV altitude and video resolution

Chen, Yuqing ; Zhao, Dongyang ; Er, Meng Joo ; Zhuang, Yan ; Hu, Huosheng

International journal of remote sensing, 2021-06, Vol.42 (12), p.4437-4462 [Periódico revisado por pares]

London: Taylor & Francis

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4
Comparison of modelling ANN and ELM to estimate solar radiation over Turkey using NOAA satellite data
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Comparison of modelling ANN and ELM to estimate solar radiation over Turkey using NOAA satellite data

SAHIN, Mehmet

International journal of remote sensing, 2013-11, Vol.34 (21), p.7508-7533 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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5
Effect of spring irrigation on soil salinity monitoring with UAV-borne multispectral sensor
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Effect of spring irrigation on soil salinity monitoring with UAV-borne multispectral sensor

Yang, Ning ; Yang, Shuai ; Cui, Wenxuan ; Zhang, Zhitao ; Zhang, Junrui ; Chen, Junying ; Ma, Yu ; Lao, Congcong ; Song, Zhishuang ; Chen, Yinwen

International journal of remote sensing, 2021-12, Vol.42 (23), p.8952-8978 [Periódico revisado por pares]

London: Taylor & Francis

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6
Improvement and application of UNet network for avoiding the effect of urban dense high-rise buildings and other feature shadows on water body extraction
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Improvement and application of UNet network for avoiding the effect of urban dense high-rise buildings and other feature shadows on water body extraction

Xie, Yiheng ; Chen, Renxi ; Yu, Mingge ; Rui, Xiaoping ; Du, Xiaomin

International journal of remote sensing, 2023-06, Vol.44 (12), p.3861-3891 [Periódico revisado por pares]

London: Taylor & Francis

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7
Joint-task learning to improve perceptually-aware super-resolution of aerial images
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Joint-task learning to improve perceptually-aware super-resolution of aerial images

Albuquerque F., J. E. ; Jung, C. R.

International journal of remote sensing, 2023-03, Vol.44 (6), p.1820-1841 [Periódico revisado por pares]

London: Taylor & Francis

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8
Multi-scale crown closure retrieval for moso bamboo forest using multi-source remotely sensed imagery based on geometric-optical and Erf-BP neural network models
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Multi-scale crown closure retrieval for moso bamboo forest using multi-source remotely sensed imagery based on geometric-optical and Erf-BP neural network models

Wang, Cong ; Du, Huaqiang ; Xu, Xiaojun ; Han, Ning ; Zhou, Guomo ; Sun, Shaobo ; Gao, Guolong

International journal of remote sensing, 2015-11, Vol.36 (21), p.5384-5402 [Periódico revisado por pares]

Taylor & Francis

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9
Quantitative modelling for leaf nitrogen content of winter wheat using UAV-based hyperspectral data
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Quantitative modelling for leaf nitrogen content of winter wheat using UAV-based hyperspectral data

Liu, Haiying ; Zhu, Hongchun ; Wang, Ping

International journal of remote sensing, 2017-05, Vol.38 (8-10), p.2117-2134 [Periódico revisado por pares]

London: Taylor & Francis

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10
Remotely Piloted Aircraft Systems (RPAS) and machine learning: A review in the context of forest science
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Remotely Piloted Aircraft Systems (RPAS) and machine learning: A review in the context of forest science

Coelho Eugenio, Fernando ; Badin, Tiago Luis ; Fernandes, Pablo ; Mallmann, Caroline Lorenci ; Schons, Cristine ; Schuh, Mateus Sabadi ; Soares Pereira, Rudiney ; Fantinel, Roberta Aparecida ; Pereira da Silva, Sally Deborah

International journal of remote sensing, 2021-11, Vol.42 (21), p.8207-8235 [Periódico revisado por pares]

London: Taylor & Francis

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