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Simulating Imaging of Large Scale Radio Arrays on the Lunar Surface

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Automatic acquisition method for evaluating the on-orbit modulation transfer function based on lunar targets.

Jingjing Ai, Zhaoming Bai, Peng Gao

|December 16, 2022

Summary

This summary is machine-generated.

This study introduces an automatic knife-edge detection method using Hough transform for evaluating satellite remote sensor modulation transfer function (MTF). The new approach enhances accuracy and stability in on-orbit MTF measurements compared to traditional methods.

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Area of Science:

Remote Sensing
Optical Imaging
Image Processing

Background:

Traditional methods for on-orbit modulation transfer function (MTF) evaluation of satellite remote sensors suffer from subjectivity in lunar edge selection.
Existing techniques require manual identification of lunar shape and fixation of its edge area, limiting measurement accuracy.

Purpose of the Study:

To develop an automatic knife-edge detection method for objective and accurate on-orbit MTF evaluation of satellite remote sensors.
To overcome the limitations of traditional subjective edge selection methods.

Main Methods:

An automatic knife-edge detection method based on the Hough transform was proposed.
Sobel and Prewitt operators were employed for edge detection, generating binary edge images of the moon.
The Hough transform identified suitable edges, and MTFs were calculated for each edge to determine the optimal MTF.

Main Results:

The automatic method significantly improved the accuracy of lunar edge selection.
The novel method yielded superior MTF results compared to traditional approaches.
Analysis of long-term on-orbit MTFs for FY-2G and FY-2E satellites revealed FY-2E's higher stability and better performance.

Conclusions:

The proposed automatic knife-edge detection method offers a more accurate and reliable approach for on-orbit MTF assessment.
This technique is crucial for evaluating satellite on-orbit stability and optical imaging quality.
The findings provide valuable insights into the comparative performance of different satellite sensors.