Geometric positioning for satellite imagery without ground control points by exploiting repeated observation

Zhenling Ma, Xiaoliang Wu, Li Yan, Zhenliang Xu

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

With the development of space technology and the performance of remote sensors, high-resolution satellites are continuously launched by countries around the world. Due to high efficiency, large coverage and not being limited by the spatial regulation, satellite imagery becomes one of the important means to acquire geospatial information. This paper explores geometric processing using satellite imagery without ground control points (GCPs). The outcome of spatial triangulation is introduced for geo-positioning as repeated observation. Results from combining block adjustment with non-oriented new images indicate the feasibility of geometric positioning with the repeated observation. GCPs are a must when high accuracy is demanded in conventional block adjustment; the accuracy of direct georeferencing with repeated observation without GCPs is superior to conventional forward intersection and even approximate to conventional block adjustment with GCPs. The conclusion is drawn that taking the existing oriented imagery as repeated observation enhances the effective utilization of previous spatial triangulation achievement, which makes the breakthrough for repeated observation to improve accuracy by increasing the base-height ratio and redundant observation. Georeferencing tests using data from multiple sensors and platforms with the repeated observation will be carried out in the follow-up research.

Original languageEnglish
Article number240
JournalSensors (Switzerland)
Volume17
Issue number2
DOIs
Publication statusPublished - 1 Feb 2017
Externally publishedYes

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