Infrared image relative radiation correction method based on on-orbit classified statistic

A technology of relative radiation correction and classification statistics, applied in the field of infrared image relative radiation correction based on on-orbit classification statistics, can solve the problems of poor uniformity and on-board calibration data that cannot meet high-precision relative radiation calibration, etc. The effect of improving the accuracy of relative radiometric correction

Inactive Publication Date: 2015-08-05
BEIJING RES INST OF SPATIAL MECHANICAL & ELECTRICAL TECH
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[0004] The present invention provides an infrared image relative radiation correction method based on on-orbit classification and statistics, which is used to solve the problem of using infrared camera on-board calibration data for infrared image relative radiation correction i

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  • Infrared image relative radiation correction method based on on-orbit classified statistic

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Embodiment Construction

[0017] The present invention proposes a method for relative radiation correction of infrared images based on on-orbit classification and statistics. This method utilizes the characteristics of rich types of satellite images and features, and uses the original images acquired on-orbit as sample data to obtain relative radiation correction coefficients, making up for the The problem of insufficient calibration data on the star. At the same time, considering that the infrared imaging probes have different photoelectric response states under different radiation energies, this method introduces the idea of ​​classification, and performs statistical calculations on the calibration parameters under different radiation energies in different ways, thereby further improving the relative Radiation Correction Accuracy.

[0018] Concrete steps of the present invention are as follows:

[0019] Step 1: Use the K-means algorithm to classify the ground features obtained from satellite in-orbi...

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Abstract

The invention provides an infrared image relative radiation correction method based on on-orbit classified statistic, which comprises the following steps: a first step, classifying natural objects which are acquired from an on-orbit image of a satellite by means of a K-means algorithm according to a gray scale difference, thereby classifying the natural objects to a low-brightness range, an intermediate-brightness range and a high-brightness range, and acquiring turning points in segmented correction; a second step, performing histogram matching processing on the low-brightness range, and obtaining the radiation correction look-up table of the low-brightness range; a third step, performing a least square fitting processing on the intermediate-brightness range, and obtaining the radiation correction look-up table of the intermediate-brightness range; a fourth step, performing calculation on the high-brightness range by means of a linear model with a gradient of 1 and intercept of 0 for obtaining the radiation correction look-up table of the high-brightness range; and a fifth step, performing transition area processing on the turning points according to the radiation correction look-up tables after processing. The infrared image relative radiation correction method can effectively settle problems of insufficient on-satellite calibration data and matching deviation between calibration device setting and characteristic of an actual reconnaissance objective.

Description

technical field [0001] The invention relates to the field of satellite image processing, in particular to an infrared image relative radiation correction method based on on-orbit classification statistics. Background technique [0002] Infrared imaging reconnaissance can perceive the infrared spectrum information of the target, has strong atmospheric penetration, can be used for night reconnaissance, and has advantages in judging the target state and revealing camouflage. Due to the limitations of the existing manufacturing process level and materials, the response characteristics of the detection units in the infrared sensor are not completely consistent, resulting in a certain degree of non-uniformity between the pixels, resulting in the appearance of stripe-like noise in the infrared image. When the image is enhanced, this noise will be more prominent, in the shape of shutters, which seriously affects the quality and resolution of the infrared image. The relative radiome...

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Application Information

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IPC IPC(8): G06T5/00G06T5/40
Inventor 张炳先李岩何红艳邢坤周楠岳春宇曹世翔李方琦齐文雯
Owner BEIJING RES INST OF SPATIAL MECHANICAL & ELECTRICAL TECH
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