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Related Experiment Video

Updated: Jan 11, 2026

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Design method for focal plane mirrors based on inverse ray tracing.

ShiKai Zan, Liu Zhang, Lifeng Tian

|November 11, 2025

Summary

This study introduces an inverse ray tracing method for multisensor stitching in remote sensing. The technique significantly improves mirror parameter optimization for high-resolution, wide-swath imaging systems.

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Published on: August 12, 2013

Area of Science:

Optics and Remote Sensing
Optical Engineering
Image Processing

Background:

Growing demand for high-resolution, wide-swath remote sensing data necessitates advanced multisensor stitching techniques.
Current methodologies face challenges in optimizing mirror geometric parameters and spatial configurations for segmented optical systems.
Accurate stitching is crucial for maximizing the field of view and data quality in modern remote sensing applications.

Purpose of the Study:

To develop and validate an optimization method for determining mirror geometric parameters and spatial configurations for multisensor stitching.
To enhance the precision and efficiency of designing segmented mirror optics for wide-swath remote sensing.
To provide a systematic approach for the development of ultra-large optical systems.

Main Methods:

Utilized inverse ray tracing to optimize mirror geometric parameters and spatial configurations.
Validated the method using an off-axis three-mirror anastigmat system with three stitched sensors.
Employed linear fitting in the vignetting region to quantify accuracy and performance.

Main Results:

Achieved a mean squared error of R² ≥ 99% in linear fitting within the vignetting region.
Demonstrated a fivefold improvement in performance compared to conventional stitching methodologies.
Successfully validated the optimization method on a complex three-mirror anastigmat system.

Conclusions:

The inverse ray tracing method offers a robust solution for multisensor stitching optimization.
This systematic design approach is crucial for advancing ultra-large optical systems and wide-swath remote sensing.
The findings pave the way for more efficient and accurate design of future remote sensing instruments.