Optical remote sensing image quality comprehensive evaluation method

By obtaining the radiation wavelength through optical transfer function and signal-to-noise ratio calculation models, and combining zoned shooting and big data evaluation, the problem of relying on human eye judgment for optical remote sensing image quality identification is solved, and objective, accurate evaluation and optimization of image quality are achieved.

CN115965611BActive Publication Date: 2026-06-23HUNAN XINGTU SPACE INFORMATION TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HUNAN XINGTU SPACE INFORMATION TECH CO LTD
Filing Date
2023-01-05
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

In the current optical remote sensing image imaging process, image quality recognition relies on human judgment, which leads to low efficiency and easy errors, and the image quality is affected by a variety of factors and is difficult to guarantee.

Method used

The radiation wavelength is obtained by using optical transfer function and signal-to-noise ratio calculation models. Images are captured in different areas and selected based on the highest clarity. Combined with big data, manual evaluation, and online image verification, an objective and accurate evaluation of image quality is achieved.

Benefits of technology

It enables objective and accurate evaluation of the quality of optical remote sensing images, reduces the cumbersome procedures of manual judgment, improves the uniformity and accuracy of imaging quality, reduces interference from external factors, and achieves optimal image quality, especially when shooting in complex environments.

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Abstract

The application discloses a kind of optical remote sensing image quality comprehensive evaluation method, it is related to optical remote sensing image technical field, including S1 image sample place time confirmation, S2 image sample partition division, S3 with radiation response and and noise level obtains radiation wavelength, S4 data acquisition and record, S5 image cutting splicing, S6 optical transfer function and signal-to-noise ratio adjustment and S7 image sample comparison.The application obtains the radiation wavelength of shooting position by using optical transfer function and signal-to-noise ratio, according to the interval size of radiation wavelength to distinguish the way of picture definition, can avoid the cumbersome procedure that traditional optical remote sensing image imaging photo quality identification needs to use human eye judgment, and using radiation wavelength to distinguish the scheme of photo definition, can make the definition of photo change from image detection to data calculation, which makes the result of optical remote sensing image quality comprehensive evaluation more objective.
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