Szczegóły publikacji
Opis bibliograficzny
The lidargrammetric model deformation method for altimetric UAV-ALS data enhancement / Antoni RZONCA, Mariusz TWARDOWSKI // Remote Sensing [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 2072-4292. — 2022 — vol. 14 iss. 24 art. no. 6391, s. 1-17. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 14-17, Abstr. — Publikacja dostępna online od: 2022-12-17
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 144290 |
|---|---|
| Data dodania do BaDAP | 2023-01-03 |
| Tekst źródłowy | URL |
| DOI | 10.3390/rs14246391 |
| Rok publikacji | 2022 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Remote Sensing |
Abstract
The altimetric accuracy of aerial laser scanning (ALS) data is one of the most important issues of ALS data processing. In this paper, the authors present a previously unknown, yet simple and efficient method for altimetric enhancement of ALS data based on the concept of lidargrammetry. The generally known photogrammetric theory of stereo model deformations caused by relative orientation parameters errors of stereopair was applied for the continuous correction of lidar data based on ground control points. The preliminary findings suggest that the method is correct, efficient and precise, whilst the correction of the point cloud is continuous. The theory of the method and its implementation within the research software are presented in the text. Several tests were performed on synthetic and real data. The most significant results are presented and discussed in the article together with a discussion of the potential of lidargrammetry, and the main directions of future research are also mapped out. These results confirm that the research gap in the area of altimetric enhancement of ALS data without additional trajectory data is resolved in this study.
