PROVIDING DATA QUALITY INFORMATION FOR REMOTE SENSING APPLICATIONS
| Autor: | Árpád Barsi, Annett Bartsch, G. Huang, Florian Thomas Albrecht, H. M. Abdulmutalib, Dirk Tiede, Stefan Lang, Zs. Kugler, Carlo Batini, G. Szabó, Thomas Blaschke |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
lcsh:Applied optics. Photonics
Emergency management lcsh:T Remote sensing application Computer science business.industry media_common.quotation_subject 0211 other engineering and technologies lcsh:TA1501-1820 02 engineering and technology Research needs Research opportunities lcsh:Technology Data science Domain (software engineering) Identification (information) lcsh:TA1-2040 Data quality 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Quality (business) lcsh:Engineering (General). Civil engineering (General) business 021101 geological & geomatics engineering media_common |
| Zdroj: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3, Pp 15-22 (2018) |
| ISSN: | 2194-9034 |
| Popis: | 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 validation approaches to assess data quality. Validation approaches employ quality criteria in their assessment. Data Quality (DQ) dimensions as the basis for quality criteria have been deeply investigated in the database area and in the remote sensing domain. Several standards exist within the RS domain but a general classification – established for databases – has been adapted only recently. For an easier identification of research opportunities, a better understanding is required how quality criteria are employed in the RS lifecycle. Therefore, this research investigates how quality criteria support decisions that guide the RS lifecycle and how they relate to the measured DQ dimensions. Subsequently follows an overview of the relevant standards in the RS domain that is matched to the RS lifecycle. Conclusively, the required research needs are identified that would enable a complete understanding of the interrelationships between the RS lifecycle, the data sources and the DQ dimensions, an understanding that would be very valuable for designing validation approaches in RS. |
| Databáze: | OpenAIRE |
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