Ghent University Academic Bibliography

Your filters: cql: parent exact "INTERNATIONAL JOURNAL OF REMOTE SENSING"

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A radar backscatter simulation of a forest canopy using 3D physical structures derived from LiDAR scanning

Veronica Escobar-Ruiz, William Maslanka, Chris D. Westbrook, Keith Morrison, Kim Calders (UGent) , Niall Origo, Mathias Disney and Nigel Fox

(2024) INTERNATIONAL JOURNAL OF REMOTE SENSING. 45(22). p.8594-8621
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Remote sensing of turbid coastal and estuarine waters with VIIRS I (375 m) and M (750 m) bands

Quinten Vanhellemont, Ana Dogliotti, David Doxaran, Clémence Goyens (UGent) , Kevin Ruddick and Dieter Vansteenwegen

(2024) INTERNATIONAL JOURNAL OF REMOTE SENSING. 45(24). p.9162-9191
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Unsupervised spectral sub-feature learning for hyperspectral image classification

Viktor Slavkovikj (UGent) , Steven Verstockt (UGent) , Wesley De Neve (UGent) , Sofie Van Hoecke (UGent) and Rik Van de Walle (UGent)

(2016) INTERNATIONAL JOURNAL OF REMOTE SENSING. 37(2). p.309-326
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Classification of airborne laser scanning point clouds based on binomial logistic regression analysis

Cornelis Stal (UGent) , Christian Briese, Philippe De Maeyer (UGent) , Peter Dorninger, Timothy Nuttens (UGent) , Norbert Pfeifer and Alain De Wulf (UGent)

(2014) INTERNATIONAL JOURNAL OF REMOTE SENSING. 35(9). p.3219-3236
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Variability of operator performance in remote-sensing image interpretation: the importance of human and external factors

Frieke Vancoillie (UGent) , Soetkin Gardin (UGent) , Frederik Anseel (UGent) , Wouter Duyck (UGent) , Lieven Verbeke (UGent) and Robert De Wulf

(2014) INTERNATIONAL JOURNAL OF REMOTE SENSING. 35(2). p.754-778
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Airborne photogrammetry and LIDAR for DSM extraction and 3D change detection over an urban area : a comparative study

Cornelis Stal (UGent) , Frederik Tack, Philippe De Maeyer (UGent) , Alain De Wulf (UGent) and Rudi Goossens (UGent)

(2013) INTERNATIONAL JOURNAL OF REMOTE SENSING. 34(4). p.1087-1110
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Assessing spatio-temporal rainfall variability in a tropical mountain area (Ethiopia) using NOAA's rainfall estimates

Miro Jacob, Amaury Frankl (UGent) , Mitiku Haile, Ann Zwertvaegher (UGent) and Jan Nyssen (UGent)

(2013) INTERNATIONAL JOURNAL OF REMOTE SENSING. 34(23). p.8319-8335
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A mixed spaceborne sensor approach for surface modelling of an urban scene

Frederik Tack, Gurcan Buyuksalih and Rudi Goossens (UGent)

(2012) INTERNATIONAL JOURNAL OF REMOTE SENSING. 33(19). p.6035-6059
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Incorporating legacy soil data to minimize errors in salinity change detection: a case study of Darab Plain, Iran

Mojtaba Pakparvar (UGent) , Donald Gabriëls (UGent) , Kazem Aarabi, Masoud Edraki, Dirk Raes and Wim Cornelis (UGent)

(2012) INTERNATIONAL JOURNAL OF REMOTE SENSING. 33(19). p.6215-6238
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Training neural networks on artificially generated data: a novel approach to SAR speckle removal

Frieke Vancoillie (UGent) , Hans Lievens (UGent) , Isabelle Joos (UGent) , Aleksandra Pizurica (UGent) , Lieven Verbeke (UGent) , Robert De Wulf and Niko Verhoest (UGent)

(2011) INTERNATIONAL JOURNAL OF REMOTE SENSING. 32(12). p.3405-3425

Academic Bibliography

A radar backscatter simulation of a forest canopy using 3D physical structures derived from LiDAR scanning

Remote sensing of turbid coastal and estuarine waters with VIIRS I (375 m) and M (750 m) bands

Unsupervised spectral sub-feature learning for hyperspectral image classification

Classification of airborne laser scanning point clouds based on binomial logistic regression analysis

Variability of operator performance in remote-sensing image interpretation: the importance of human and external factors

Airborne photogrammetry and LIDAR for DSM extraction and 3D change detection over an urban area : a comparative study

Assessing spatio-temporal rainfall variability in a tropical mountain area (Ethiopia) using NOAA's rainfall estimates

A mixed spaceborne sensor approach for surface modelling of an urban scene

Incorporating legacy soil data to minimize errors in salinity change detection: a case study of Darab Plain, Iran

Training neural networks on artificially generated data: a novel approach to SAR speckle removal

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