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Abriha, Dávid
20  results:
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1

PRISMA vs. Landsat 9 in lithological mapping − a K-fold Cro..:

Shebl, Ali ; Abriha, Dávid ; Dawoud, Maher..
The Egyptian Journal of Remote Sensing and Space Sciences.  27 (2024)  3 - p. 577-596 , 2024
Link: https://doi.org/10.1016/..
 
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2

Classification Assessment Tool: A program to measure the un..:

Szabó, Szilárd ; Holb, Imre J. ; Abriha-Molnár, Vanda Éva...
Applied Soft Computing.  155 (2024)  - p. 111468 , 2024
Link: https://doi.org/10.1016/..
 
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3

Smaller is better? Unduly nice accuracy assessments in roof..:

Abriha, Dávid ; Srivastava, Prashant K. ; Szabó, Szilárd
Heliyon.  9 (2023)  3 - p. e14045 , 2023
Link: https://doi.org/10.1016/..
 
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4

Strategies in training deep learning models to extract buil..:

Abriha, Dávid ; Szabó, Szilárd
International Journal of Digital Earth.  16 (2023)  1 - p. 1707-1724 , 2023
Link: https://doi.org/10.1080/..
 
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5

PRISMA hyperspectral data for lithological mapping in the E..:

Shebl, Ali ; Abriha, Dávid ; Fahil, Amr S....
Ore Geology Reviews.  161 (2023)  - p. 105652 , 2023
Link: https://doi.org/10.1016/..
 
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6

Classification Efficacy Using K-Fold Cross-Validation and B..:

Phinzi, Kwanele ; Abriha, Dávid ; Szabó, Szilárd
Remote Sensing.  13 (2021)  15 - p. 2980 , 2021
Link: https://doi.org/10.3390/..
 
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7

Machine Learning for Gully Feature Extraction Based on a Pa..:

Phinzi, Kwanele ; Abriha, Dávid ; Bertalan, László..
ISPRS International Journal of Geo-Information.  9 (2020)  4 - p. 252 , 2020
Link: https://doi.org/10.3390/..
 
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8

PRISMA hyperspectral data for lithological mapping in the E..:

Shebl, Aly ; Abriha, Dávid ; Fahil, Amr S...
Ore Geology Reviews. -161 (2023), p.1-16. -Ore Geol. Rev. - 0169-1368.  , 2023
Link: https://hdl.handle.net/2..
 
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9

Smaller is better? Unduly nice accuracy assessments in roof..:

Abriha, Dávid ; Srivastava, Prashant K ; Szabó, Szilárd
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006495/.  , 2023
Link: http://www.ncbi.nlm.nih...
 
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10

Classification Efficacy Using K-Fold Cross-Validation and B..:

Phinzi, Kwanele ; Abriha, Dávid ; Szabó, Szilárd
Remote Sensing. -13 : 15 (2021), p. 1-18. -Remote Sens. - 2072-4292.  , 2021
Link: http://hdl.handle.net/24..
 
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11

Urban vegetation classification with high-resolution Planet..:

Szabó, Loránd ; Abriha, Dávid ; Phinzi, Kwanele.
Acta geographica Debrecina. Landscape & environment series. -15 : 1 (2021), p. 66-75. -Acta geogr. Debr., Landsc. environ. ser. - 1789-4921. - 1789-7556.  , 2021
Link: http://hdl.handle.net/24..
 
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12

Machine Learning for Gully Feature Extraction Based on a Pa..:

Phinzi, Kwanele ; Abriha, Dávid ; Bertalan, László..
ISPRS International Journal of Geo-Information. -9 : 4 (2020), p. 1-20. -ISPRS Int. Geo-Inf. - 2220-9964. - 2220-9964.  , 2020
Link: http://hdl.handle.net/24..
 
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13

Identification of roofing materials with Discriminant Funct..:

Abriha, Dávid ; Kovács, Zoltán ; Ninsawat, Sarawut...
https://ojs.mtak.hu/index.php/hungeobull/article/view/1082/940.  , 2018
Link: https://ojs.mtak.hu/inde..
 
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14

Smaller is better? Unduly nice accuracy assessments in roof..:

Dávid Abriha ; Prashant K. Srivastava ; Szilárd Szabó
http://www.sciencedirect.com/science/article/pii/S2405844023012525.  , 2023
Link: https://doi.org/10.1016/..
 
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15

Strategies in training deep learning models to extract buil..:

Dávid Abriha ; Szilárd Szabó
http://dx.doi.org/10.1080/17538947.2023.2210312.  , 2023
Link: https://doi.org/10.1080/..
 
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