Ghent University Academic Bibliography

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Open-set patient activity recognition with radar sensors and deep learning

Geethika Bhavanasi (UGent) , Lorin Werthen-Brabants (UGent) , Tom Dhaene (UGent) and Ivo Couckuyt (UGent)

(2023) IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. 20.
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Automatic identification of sand and dust storm sources based on wind vector and Google Earth Engine

Wei Wang (UGent) , Alim Samat, Jilili Abuduwaili, Chen Wang (UGent) , Philippe De Maeyer (UGent) and Tim Van de Voorde (UGent)

(2022) IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. 19.
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A framework for big Earth observation data using horizontal scaling strategy

Yinyi Cheng (UGent) , Kefa Zhou, Jinlin Wang, Shichao Cui, Jining Yan, Philippe De Maeyer (UGent) and Tim Van de Voorde (UGent)

(2022) IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. 19.
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Sentinel-1 backscatter assimilation using support vector regression or the water cloud model at European soil moisture sites

Dominik Rains (UGent) , Hans Lievens (UGent) , Gabrielle J. M. De Lannoy, Matthew F. McCabe, Richard A. M. de Jeu and Diego Miralles (UGent)

(2022) IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. 19.
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MC-JAFN : multilevel contexts-based joint attentive fusion network for pansharpening

Zhikang Xiang (UGent) , Liang Xiao, Wenzhi Liao (UGent) and Wilfried Philips (UGent)

(2022) IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. 19.
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Hyperspectral and LiDAR classification with semisupervised graph fusion

Junshi xia, Wenzhi Liao (UGent) and Peijun Du

(2020) IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. 17(4). p.666-670
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An entropy and MRF model-based CNN for large-scale landsat image classification

Xuemei Zhao, Lianru Gao, Zhengchao Chen, Bing Zhang, Wenzhi Liao (UGent) and Xuan Yang

(2019) IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. 16(7). p.1145-1149
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Hierarchical metric learning for optical remote sensing scene categorization

Akashdeep Goel, Biplab Banerjee and Aleksandra Pizurica (UGent)

(2019) IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. 16(6). p.952-956
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SMOS and SMAP brightness temperature assimilation over the Murrumbidgee Basin

Dominik Rains (UGent) , Gabrielle JM De Lannoy, Hans Lievens (UGent) , Jeffrey P Walker and Niko Verhoest (UGent)

(2018) IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. 15(11). p.1652-1656
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Influence of surface roughness sample size for C-band SAR backscatter applications on agricultural soils

Alex Martinez-Agirre, Jesús Álvarez-Mozos, Hans Lievens (UGent) , Niko Verhoest (UGent) and Rafael Giménez

(2017) IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. 14(12). p.2300-2304

Academic Bibliography

Open-set patient activity recognition with radar sensors and deep learning

Automatic identification of sand and dust storm sources based on wind vector and Google Earth Engine

A framework for big Earth observation data using horizontal scaling strategy

Sentinel-1 backscatter assimilation using support vector regression or the water cloud model at European soil moisture sites

MC-JAFN : multilevel contexts-based joint attentive fusion network for pansharpening

Hyperspectral and LiDAR classification with semisupervised graph fusion

An entropy and MRF model-based CNN for large-scale landsat image classification

Hierarchical metric learning for optical remote sensing scene categorization

SMOS and SMAP brightness temperature assimilation over the Murrumbidgee Basin

Influence of surface roughness sample size for C-band SAR backscatter applications on agricultural soils

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