Development of a Large-Format UAS Imaging System with the Construction of a One Sensor Geometry from a Multicamera Array

Jiann Yeou Rau, Jyun Ping Jhan, Yi Tang Li

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


For the purpose of large-Area topographic mapping, this study proposes an imaging system based on a multicamera array unmanned aerial system (UAS) comprised of five small-format digital cameras with a total field of view of 127 ^{\circ}. The five digital cameras are aligned in a row along the across-Track direction with overlap between two neighboring cameras. The suggested system has higher data acquisition efficiency than the single-camera UAS imaging system. For topographic mapping purposes, we develop a modified projective transformation method to stitch all five raw images into one sensor geometry. In this method, the transformation coefficients are obtained by on-The-job multicamera self-calibration, including interior and relative orientations. During the stitching process, two systematic errors are detected and corrected. In the end, a large-format digital image can be produced for each trigger event independently. The photogrammetric collinearity condition is evaluated using several external accuracy assessments, such as conventional aerial triangulation, stereoplotting, and digital surface model generation procedures. From the accuracy assessment results, we conclude that the presented raw image stitching method can be used to construct a one sensor geometry from a multicamera array and is feasible for 3-D mapping applications.

Original languageEnglish
Article number7498673
Pages (from-to)5925-5934
Number of pages10
JournalIEEE Transactions on Geoscience and Remote Sensing
Issue number10
Publication statusPublished - 2016 Oct

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Earth and Planetary Sciences(all)

Fingerprint Dive into the research topics of 'Development of a Large-Format UAS Imaging System with the Construction of a One Sensor Geometry from a Multicamera Array'. Together they form a unique fingerprint.

Cite this