Direct Georeferencing for the Images in an Airborne LiDAR System by Automatic Boresight Misalignments Calibration

Airborne Light Detection and Ranging (LiDAR) system and digital camera are usually integrated on a flight platform to obtain multi-source data. However, the photogrammetric system calibration is often independent of the LiDAR system and performed by the aerial triangulation method, which needs a test field with ground control points. In this paper, we present a method for the direct georeferencing of images collected by a digital camera integrated in an airborne LiDAR system by automatic boresight misalignments calibration with the auxiliary of point cloud. The method firstly uses an image matching to generate a tie point set. Space intersection is then performed to obtain the corresponding object coordinate values of the tie points, while the elevation calculated from the space intersection is replaced by the value from the LiDAR data, resulting in a new object point called Virtual Control Point (VCP). Because boresight misalignments exist, a distance between the tie point and the image point of VCP can be found by collinear equations in that image from which the tie point is selected. An iteration process is performed to minimize the distance with boresight corrections in each epoch, and it stops when the distance is smaller than a predefined threshold or the total number of epochs is reached. Two datasets from real projects were used to validate the proposed method and the experimental results show the effectiveness of the method by being evaluated both quantitatively and visually.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:20

Enthalten in:

Sensors (Basel, Switzerland) - 20(2020), 18 vom: 05. Sept.

Sprache:

Englisch

Beteiligte Personen:

Ma, Haichi [VerfasserIn]
Ma, Hongchao [VerfasserIn]
Liu, Ke [VerfasserIn]
Luo, Wenjun [VerfasserIn]
Zhang, Liang [VerfasserIn]

Links:

Volltext

Themen:

Calibration
Digital camera
Direct georeferencing
Journal Article
LiDAR

Anmerkungen:

Date Revised 29.10.2020

published: Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.3390/s20185056

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM314722416