E-LIB Suche - Ergebnisse für: Barsi, J.A.

1

A SHALLOW NEURAL NETWORK MODEL FOR URBAN LAND COVER CLASSIF..:

Fawzy, M. ; Szabó, G. ; Barsi, A.
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. X-1/W1-2023 (2023) - p. 57-64 , 2023

Link: https://doi.org/10.5194/..

2

COST-EFFICIENT METHODS OF DERIVING SLOPE INFORMATION FOR RO..:

Horváth, V. ; Barsi, A.
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XLVIII-1/W2-2023 (2023) - p. 895-900 , 2023

Link: https://doi.org/10.5194/..

3

LINE AND POLYGON TOPOLOGY IN OPENDRIVE MODELLING:

Lógó, J. M. ; Barsi, A.
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XLVIII-1/W2-2023 (2023) - p. 835-840 , 2023

Link: https://doi.org/10.5194/..

4

THE ROLE OF TOPOLOGY IN HIGH-DEFINITION MAPS FOR AUTONOMOUS..:

Lógó, J. M. ; Barsi, A.
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XLIII-B4-2022 (2022) - p. 383-388 , 2022

Link: https://doi.org/10.5194/..

5

TOPOLOGICAL ANOMALY DETECTION IN AUTOMOTIVE SIMULATOR MAPS:

Barsi, M. ; Barsi, A.
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XLIII-B4-2022 (2022) - p. 343-348 , 2022

Link: https://doi.org/10.5194/..

6

QUALITY ASPECTS OF HIGH-DEFINITION MAPS:

Lógó, J. M. ; Krausz, N. ; Potó, V..
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XLIII-B4-2021 (2021) - p. 389-394 , 2021

Link: https://doi.org/10.5194/..

7

BUILDING OPENDRIVE MODEL FROM MOBILE MAPPING DATA:

Barsi, M. ; Barsi, A.
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XLIII-B4-2021 (2021) - p. 9-14 , 2021

Link: https://doi.org/10.5194/..

8

ENVIRONMENTAL DATA DELIVERY FOR AUTOMOTIVE SIMULATIONS BY L..:

Barsi, A. ; Csepinszky, A. ; Krausz, N....
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XLII-2/W16 (2019) - p. 41-45 , 2019

Link: https://doi.org/10.5194/..

9

Landsat Program:

, In: Comprehensive Remote Sensing,

Markham, B.L. ; Arvidson, T. ; Barsi, J.A.... - p. 27-90 , 2018

Link: https://doi.org/10.1016/..

10

REPRESENTING ROAD RELATED LASERSCANNED DATA IN CURVED REGUL..:

Potó, V. ; Csepinszky, A. ; Barsi, Á.
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XLII-2 (2018) - p. 917-921 , 2018

Link: https://doi.org/10.5194/..

11

TIME-RELATED QUALITY DIMENSIONS OF URBAN REMOTELY SENSED BI..:

Kugler, Z. ; Szabó, G. ; Abdulmuttalib, H. M....
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XLII-4 (2018) - p. 315-320 , 2018

Link: https://doi.org/10.5194/..

12

Numerical integration of the contravariant integral form of..:

Cannata, G. ; Petrelli, C. ; Barsi, L..
Continuum Mechanics and Thermodynamics. 31 (2018) 2 - p. 491-519 , 2018

Link: https://doi.org/10.1007/..

13

ACCURACY DIMENSIONS IN REMOTE SENSING:

Barsi, Á. ; Kugler, Zs. ; László, I...
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XLII-3 (2018) - p. 61-67 , 2018

Link: https://doi.org/10.5194/..

14

PROVIDING DATA QUALITY INFORMATION FOR REMOTE SENSING APPLI..:

Albrecht, F. ; Blaschke, T. ; Lang, S....
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XLII-3 (2018) - p. 15-22 , 2018

Link: https://doi.org/10.5194/..

15

CAPTURING FINE DETAILS INVOLVING LOW-COST SENSORS –A COMPAR..:

Rehany, N. ; Barsi, A. ; Lovas, T.
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XLII-2/W8 (2017) - p. 213-220 , 2017

Link: https://doi.org/10.5194/..