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A Fast, Three-Dimensional, Indirect Geolocation Method Using IAGM and DSM Data without GCPs for Spaceborne SAR Images
1Department of Applied Science and Frontier Technology, Qian Xuesen Laboratory of Space Technology, Beijing 100094, China.
A new 3D indirect geolocation method for spaceborne synthetic aperture radar (SAR) images significantly reduces computational complexity. This fast, ground control point-free approach achieves precise geolocation using digital surface models.
Area of Science:
- Remote Sensing
- Geospatial Analysis
- Photogrammetry
Background:
- Traditional indirect geolocation methods for spaceborne synthetic aperture radar (SAR) images are computationally intensive.
- Accurate geolocation is crucial for precise analysis and application of SAR data.
- Reliance on ground control points (GCPs) can be resource-prohibitive and time-consuming.
Purpose of the Study:
- To develop a fast, three-dimensional (3D), indirect geolocation method for spaceborne SAR images.
- To eliminate the need for ground control points (GCPs) in the geolocation process.
- To improve computational efficiency while maintaining geolocation accuracy.
Main Methods:
- Introduction of the Range-Doppler (RD) geolocation model within the Earth-centered rotating (ECR) coordinate system.
- Application of an iterative analytical geolocation method (IAGM) to determine SAR image corner point locations.
- Construction of a 3D grid using digital surface model (DSM) data and estimation of pixel azimuth time for reduced Doppler centroid calculation.
Main Results:
- The proposed method demonstrates a significant speed improvement, being approximately 12 times faster than traditional methods.
- The method maintains high geolocation accuracy for spaceborne SAR images.
- Precise azimuth time estimation facilitates accurate range location determination.
Conclusions:
- The developed 3D indirect geolocation method offers a computationally efficient alternative for spaceborne SAR image geolocating.
- Accurate geolocation is achievable without GCPs by leveraging high-resolution DSM data.
- This technique enables precise geolocating of SAR images to the Earth's surface.
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