Manuel Antonio Ureña-Cámara
Biographic Data
| ID | 9967562 |
|---|---|
| NAME | Manuel Antonio Ureña-Cámara |
| GIVEN NAMES | Manuel Antonio |
| FAMILY NAME | Ureña-Cámara |
| SIGNATURE | UREÑA-CÁMARA M A |
| AFFILIATIONS | Universidad de Jaén |
| ORCID | 0000-0002-6373-4410 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Expert Knowledge as Basis for Assessing an Automatic Matching Procedure
The continuous development of machine learning procedures and the development of new ways of mapping based on the integration of spatial data from heterogeneous sources have resulted in the automation of many processes associated with cartographic production such as positional accuracy assessment (PAA). The automation of the PAA of spatial data is based on automated matching procedures between corresponding spatial objects (usually building polyg…
Automatic Positional Accuracy Assessment of Imagery Segmentation Processes
There are many studies related to Imagery Segmentation (IS) in the field of Geographic Information (GI). However, none of them address the assessment of IS results from a positional perspective. In a field in which the positional aspect is critical, it seems reasonable to think that the quality associated with this aspect must be controlled. This paper presents an automatic positional accuracy assessment (PAA) method for assessing this quality co…
An Analysis of Existing Production Frameworks for Statistical and Geographic Information
The production of official statistical and geospatial data is often in the hands of highly specialized public agencies that have traditionally followed their own paths and established their own production frameworks. In this article, we present the main frameworks of these two areas and focus on the possibility and need to achieve a better integration between them through the interoperability of systems, processes, and data. The statistical area …
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Expert Knowledge as Basis for Assessing an Automatic Matching Procedure
The continuous development of machine learning procedures and the development of new ways of mapping based on the integration of spatial data from heterogeneous sources have resulted in the automation of many processes associated with cartographic production such as positional accuracy assessment (PAA). The automation of the PAA of spatial data is based on automated matching procedures between corresponding spatial objects (usually building polyg…
Automatic Positional Accuracy Assessment of Imagery Segmentation Processes
There are many studies related to Imagery Segmentation (IS) in the field of Geographic Information (GI). However, none of them address the assessment of IS results from a positional perspective. In a field in which the positional aspect is critical, it seems reasonable to think that the quality associated with this aspect must be controlled. This paper presents an automatic positional accuracy assessment (PAA) method for assessing this quality co…
An Analysis of Existing Production Frameworks for Statistical and Geographic Information
The production of official statistical and geospatial data is often in the hands of highly specialized public agencies that have traditionally followed their own paths and established their own production frameworks. In this article, we present the main frameworks of these two areas and focus on the possibility and need to achieve a better integration between them through the interoperability of systems, processes, and data. The statistical area …
Computer Science (3 works) · Data mining (3 works) · Artificial Intelligence (2 works) · Automated Road and Building Extraction (2 works) · Cartography (2 works) · Engineering (2 works) · Geographic Information Systems Studies (2 works) · Geography (2 works) · Geospatial analysis (2 works) · Mathematics (2 works)