Geometric Positioning for Satellite Imagery without Ground Control Points by Exploiting Repeated Observation
Zhenling Ma1, Xiaoliang Wu2, Li Yan3
1Shanghai Engineering Research Center of Hadal Science and Technology, Research Center for Ocean Mapping and Applications, College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China. zlma@shou.edu.cn.
Sensors (Basel, Switzerland)
|January 31, 2017
Summary
This study demonstrates accurate satellite image geo-positioning without ground control points (GCPs) by using repeated observations. This method enhances geometric positioning accuracy, approaching conventional block adjustment with GCPs.
Area of Science:
- Geomatics Engineering
- Photogrammetry
- Remote Sensing
Background:
- Advancements in satellite technology and remote sensing enable high-resolution imagery acquisition.
- Satellite imagery is crucial for geospatial information due to its efficiency and broad coverage.
- Traditional geometric processing often relies on ground control points (GCPs), which can be costly and time-consuming.
Purpose of the Study:
- To explore geometric processing of satellite imagery without ground control points (GCPs).
- To assess the feasibility of direct georeferencing using repeated observations.
- To improve the accuracy and efficiency of satellite image positioning.
Main Methods:
- Spatial triangulation for geo-positioning using repeated observations.
- Combining block adjustment with non-oriented new satellite images.
- Direct georeferencing without relying on GCPs.
Main Results:
- Feasibility of geometric positioning demonstrated through repeated observations.
- Direct georeferencing without GCPs achieved accuracy superior to conventional forward intersection.
- Accuracy approximated conventional block adjustment methods that utilize GCPs.
Conclusions:
- Repeated observations of existing oriented imagery enhance the utilization of spatial triangulation.
- This approach offers a breakthrough in improving accuracy by increasing base-height ratio and redundant observations.
- Future research will involve georeferencing tests with multi-sensor and multi-platform data using repeated observations.
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