Výsledky vyhledávání

Akademický článek

PROVIDING DATA QUALITY INFORMATION FOR REMOTE SENSING APPLICATIONS

Autor: F. Albrecht, T. Blaschke, S. Lang, H. M. Abdulmutalib, G. Szabó, Á. Barsi, C. Batini, A. Bartsch, Zs. Kugler, D. Tiede, G. Huang

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3, Pp 15-22 (2018)

The availability and accessibility of remote sensing (RS) data, cloud processing platforms and provided information products and services has increased the size and diversity of the RS user community. This development also generates a need for valida

Externí odkaz: https://doaj.org/article/ea71bf91cfa34090960c4492123f41ba

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Akademický článek

ACCURACY DIMENSIONS IN REMOTE SENSING

Autor: Á. Barsi, Zs. Kugler, I. László, Gy. Szabó, H. M. Abdulmutalib

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3, Pp 61-67 (2018)

The technological developments in remote sensing (RS) during the past decade has contributed to a significant increase in the size of data user community. For this reason data quality issues in remote sensing face a significant increase in importance

Externí odkaz: https://doaj.org/article/25519547b5c846fb86c539fb6aa21671

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Akademický článek

DATA QUALITY IN REMOTE SENSING

Autor: C. Batini, T. Blaschke, S. Lang, F. Albrecht, H. M. Abdulmutalib, Á. Barsi, G. Szabó, Zs. Kugler

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W7, Pp 447-453 (2017)

The issue of data quality (DQ) is of growing importance in Remote Sensing (RS), due to the widespread use of digital services (incl. apps) that exploit remote sensing data. In this position paper a body of experts from the ISPRS Intercommission worki

Externí odkaz: https://doaj.org/article/e12041be13f94633828e5b32bb60a7cb

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