A hyperspectral image inter-band registration method considering satellite platform jitter

By constructing a rigorous imaging model and a jitter compensation method, the registration accuracy between hyperspectral image bands under satellite platform jitter conditions was improved, the problem of insufficient fitting accuracy of non-sinusoidal jitter error was solved, and high-precision image registration results were achieved.

CN122244110APending Publication Date: 2026-06-19XUCHANG UNIV +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
XUCHANG UNIV
Filing Date
2026-02-25
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing technologies have limited fitting accuracy when simulating non-sinusoidal satellite platform flutter errors, resulting in low registration accuracy between hyperspectral image bands and affecting the effectiveness of ground object spectral extraction and target identification.

Method used

A rigorous imaging model was constructed, corresponding points were extracted, and geometric external and internal calibration models were established. The along-track and cross-track errors were fitted using a column number-based cubic polynomial model and a random forest method to perform flutter compensation, and the registration accuracy between bands was improved through orthorectification.

Benefits of technology

It effectively improves the registration accuracy between hyperspectral image bands during satellite platform tremors, supports the extraction of ground object spectral information, automatic target identification and classification, and ground object change detection, meeting the high-precision production requirements of remote sensing products.

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Abstract

This invention discloses a hyperspectral image inter-band registration method that takes into account satellite platform jitter, comprising the following steps: 1) constructing a rigorous imaging model of a spaceborne linear array pushbroom imaging sensor; 2) extracting control points and check points using image registration methods; 3) constructing a geometric external calibration model and analyzing the distribution of positioning errors after external calibration; 4) constructing a geometric internal calibration model and analyzing the distribution of positioning errors after internal and external calibration; 5) establishing a nonlinear relationship between positioning errors after internal and external calibration and imaging time using a random forest method; 6) verifying the inter-band registration effect based on the ground coordinate differences of corresponding points between bands; and 7) verifying the inter-band registration effect after orthorectification using a visual interpretation method. This invention effectively solves the problem of low inter-band registration accuracy of hyperspectral images when satellite platform jitter exists.
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