Multi-Observation Block Adjustment by Rational Function Model Without Ground Control Points
| Autor: | Hongjian You, Feng Wang, Xinghui Yao |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
business.industry
Computer science 0211 other engineering and technologies 02 engineering and technology Rational function Object (computer science) Compensation (engineering) Image (mathematics) Remote sensing (archaeology) Computer vision Artificial intelligence business Baseline (configuration management) 021101 geological & geomatics engineering Block (data storage) |
| Zdroj: | IGARSS |
| DOI: | 10.1109/igarss.2018.8518024 |
| Popis: | As an indispensable part of remote sensing image preprocessing, geometric correction has a great influence on the application of remote sensing images. Traditional geometric correction requires lots of well-distributed ground control points(GCPs). However, GCPs are difficult to obtain GCPs in some places such as mountain and desert areas. For this reason, we propose a Multi-Observation Block Adjustment(MOBA) method to get accurate geo-position without control points. The method improves the geometric positioning accuracy by the error compensation parameters of the remote sensing images, which caculated from block adjustment error equations. Different from tranditional method, error equations are built depending on multi-projection in image space of a single object. In this way, error equation can converge to more accurate solution. Experiments of ZY-3 with wide baseline and GF-2 with narrow baseline show that the proposed method can significantly improve geometric positioning accuracy of both kinds of remote sensing images. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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