English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

OpenStreetMap (OSM) is currently the largest openly licensed collection of geospatial data. Being OSM increasingly exploited in a\udvariety of applications, research has placed great attention on the assessment of its quality. This work focuses on assessing the quality\udof OSM buildings. While most of the studies available in literature are limited to the evaluation of OSM building completeness, this\udwork proposes an original approach to assess the positional accuracy of OSM buildings based on comparison with a reference\uddataset. The comparison relies on a quasi-automated detection of homologous pairs on the two datasets. Based on the homologous\udpairs found, warping algorithms like e.g. affine transformations and multi-resolution splines can be applied to the OSM buildings to\udgenerate a new version having an optimal local match to the reference layer. A quality assessment of the OSM buildings of Milan\udMunicipality (Northern Italy), having an area of about 180 km2, is then presented. After computing some measures of completeness,\udthe algorithm based on homologous points is run using the building layer of the official vector cartography of Milan Municipality as\udthe reference dataset. Approximately 1 homologous points are found, which show a systematic translation of about 0.4 m on\udboth the X and Y directions and a mean distance of about 0.8 m between the datasets. Besides its efficiency and high degree of\udautomation, the algorithm generates a warped version of OSM buildings which, having by definition a closest match to the reference\udbuildings, can be eventually integrated in the OSM database

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

POSITIONAL ACCURACY ASSESSMENT OF THE OPENSTREETMAP BUILDINGS LAYER THROUGH AUTOMATIC HOMOLOGOUS PAIRS DETECTION: THE METHOD AND A CASE STUDY