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

Airborne LIDAR point clouds, which have considerable points on object surfaces, are essential to building modeling. In the last two\uddecades, studies have developed different approaches to identify structure lines using two main approaches, data-driven and modeldriven.\udThese studies have shown that automatic modeling processes depend on certain considerations, such as used thresholds,\udinitial value, designed formulas, and predefined cues. Following the development of laser scanning systems, scanning rates have\udincreased and can provide point clouds with higher point density. Therefore, this study proposes using topological elevation analysis\ud(TEA) to detect structure lines instead of threshold-dependent concepts and predefined constraints. This analysis contains two parts:\uddata pre-processing and structure line detection. To preserve the original elevation information, a pseudo-grid for generating digital\udsurface models is produced during the first part. The highest point in each grid is set as the elevation value, and its original threedimensional\udposition is preserved. In the second part, using TEA, the structure lines are identified based on the topology of local\udelevation changes in two directions. Because structure lines can contain certain geometric properties, their locations have small\udrelieves in the radial direction and steep elevation changes in the circular direction. Following the proposed approach, TEA can be\udused to determine 3D line information without selecting thresholds. For validation, the TEA results are compared with those of the\udregion growing approach. The results indicate that the proposed method can produce structure lines using dense point clouds

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

STRUCTURE LINE DETECTION FROM LIDAR POINT CLOUDS USING TOPOLOGICAL ELEVATION ANALYSIS