| 基于改进伽马曲线的星载长波红外焦平面非均匀性校正算法 |
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| 引用本文： | 汪大宝,王中果,吴明轩,张超,胡月.基于改进伽马曲线的星载长波红外焦平面非均匀性校正算法[J].红外与激光工程,2022,51(5):20210510-1-20210510-9. |
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| 作者姓名： | 汪大宝 王中果 吴明轩 张超 胡月 |
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| 作者单位： | 1.中国空间技术研究院 遥感卫星总体部，北京 100094 |
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| 基金项目： | 国家自然科学基金（51801142, 61705173）；装备预研领域基金（61404130316）；装备预研重点实验室基金（6142107200208） |
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| 摘 要： | 随着长波红外探测器技术的进步，通过选用宇航级大阵列长波红外探测器，天基红外遥感卫星技术得到快速发展。长波红外探器响应强非线性导致传统的基于线性模型的非均匀性校正算法校正误差大，从而影响卫星在轨使用效能。针对该问题，结合大量实验室数据和卫星在轨数据的统计分析结果，建立了一种新的长波红外探测器非线性响应模型，据此提出了一种基于改进伽马曲线的非均匀性校正算法，以有效克服探测器响应强非线性对校正精度的影响。该算法首先建立基于改进伽马曲线的探测器非线性响应模型，依据此模型对获取图像进行非线性压缩映射，实现探测器响应的线性化，然后利用星载基于定标技术的线性化算法实施非均匀性校正，同时，定标温度点根据所建立模型参数动态更新，最后通过逆非线性化压缩映射还原出实际的非均匀校正后的图像。基于人造黑体和在轨实景红外图像的实验结果表明，该算法有效解决了探测器响应强非线性对校正精度的影响，校正后图像的视觉效果和定量化指标均优于传统的星载非均匀校正算法。
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| 关 键 词： | 长波红外探测器 天基红外遥感 非均匀性校正 动态伽马曲线 强非线性响应模型 |
| 收稿时间： | 2021-07-22 |
Non-uniformity correction algorithm of space-borne long-wave infrared focal plane arrays based on improved Gamma curve |
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| Affiliation: | 1.Institute of Remote Sensing Satellite, China Academy of Space Technology, Beijing 100094, China2.Beijing Institute of Remote Sensing Information, Beijing 100005, China3.Aerospace Star Technology Co., Lt, Beijing 100080, China |
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| Abstract: | With the progress of long-wave infrared detector technology, space-based infrared remote sensing satellite technology has developed rapidly by selecting Aerospace large array long-wave infrared detector. The response of long-wave infrared detectors is strongly nonlinear, which leads to large correction errors in traditional non-uniformity correction algorithms based on linear models, thereby affecting the effectiveness of the satellite in orbit. Aiming at this problem, combing the statistical analysis results of a large number of laboratory data and satellites in orbit data, a new long-wave infrared detector nonlinear response model was established, and an new non-uniformity correction algorithm based on improved Gamma curve was proposed accordingly, which was in order to effectively overcome the influence of the strong nonlinear response of infrared detector on the correction accuracy. Firstly, the nonlinear response model based on improved Gamma curve for infrared detector was established, and the nonlinear compression mapping operation on the original image data was completed to achieve linearization of the infrared detector response. Secondly, the linearization algorithm was used to implement non-uniformity correction based on space-borne calibration technology. Meanwhile, the calibration temperature point was dynamically updated according to the established model parameters. Finally, the actual image after non-uniformity correction was restored by inverse nonlinear compression mapping. The experimental result based on artificial blackbody and on orbit real infrared images show that the proposed algorithm can effectively solve the influence of strong nonlinearity of infrared detector response on the correction accuracy, and the visual effect and quantitative index of the corrected image are better than the traditional space-borne non-uniformity correction algorithm. |
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