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An Effective Correction Method for Seriously Oblique Remote Sensing Images Based on Multi-View Simulation and a
Chunyuan Wang1, Xiang Liu2,3, Xiaoli Zhao4
1School of Electronicand Electrical Engineering, Shanghai University of Engineering Science, Longteng Road No. 333, Shanghai 201620, China. wangcy@sues.edu.cn.
Sensors (Basel, Switzerland)
|October 21, 2016
Summary
This study introduces a new method for correcting remote sensing images with severe distortions from large angle (LA) imaging. The approach improves accuracy by using advanced control point extraction and piecewise correction techniques.
Area of Science:
- Geosciences
- Remote Sensing
- Photogrammetry
Background:
- Conventional methods struggle with severe distortions and resolution disparities in oblique remote sensing images.
- Accurate control point (CP) extraction and parameter estimation are critical for effective image correction.
Purpose of the Study:
- To develop an effective correction method for large angle (LA) remote sensing images.
- To improve the accuracy of remote sensing image correction under oblique conditions.
Main Methods:
- A novel multi-view simulation (MVS) based algorithm for control point (CP) extraction to enhance matching between reference and LA images.
- A piecewise correction algorithm incorporating a distribution measurement (DM) to quantify CP distribution.
- Image partitioning into subparts, each corrected with optimized formulae based on CP distribution.
Main Results:
- The proposed method demonstrates superior performance compared to conventional correction approaches.
- Experimental results validate the effectiveness of the new CP extraction and piecewise correction techniques.
- Significant improvements in accuracy for correcting remote sensing images acquired under oblique conditions.
Conclusions:
- The developed method effectively addresses the challenges of correcting remote sensing images with severe distortions.
- The integration of MVS for CP extraction and DM for piecewise correction enhances overall image correction accuracy.
- This approach offers a significant advancement for processing large angle remote sensing data.
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