• Infrared and Laser Engineering
  • Vol. 51, Issue 5, 20210510 (2022)
Dabao Wang1, Zhongguo Wang1, Mingxuan Wu1, Chao Zhang2, and Yue Hu3
Author Affiliations
  • 1Institute of Remote Sensing Satellite, China Academy of Space Technology, Beijing 100094, China
  • 2Beijing Institute of Remote Sensing Information, Beijing 100005, China
  • 3Aerospace Star Technology Co., Lt, Beijing 100080, China
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    DOI: 10.3788/IRLA20210510 Cite this Article
    Dabao Wang, Zhongguo Wang, Mingxuan Wu, Chao Zhang, Yue Hu. Non-uniformity correction algorithm of space-borne long-wave infrared focal plane arrays based on improved Gamma curve[J]. Infrared and Laser Engineering, 2022, 51(5): 20210510 Copy Citation Text show less
    (a) Schematic diagram of the original response characteristic curves of the IRFPA detector; (b) Schematic diagram of response characteristic curves after correcting by traditional linear correction algorithm
    Fig. 1. (a) Schematic diagram of the original response characteristic curves of the IRFPA detector; (b) Schematic diagram of response characteristic curves after correcting by traditional linear correction algorithm
    (a) Algorithm flow step 1: get raw output of detector unit; (b) Algorithm step 2: non-linear mapping; (c) Algorithm step 3: linear non-uniformity correction; (d) Algorithm step 4: inverse non-linear mapping
    Fig. 2. (a) Algorithm flow step 1: get raw output of detector unit; (b) Algorithm step 2: non-linear mapping; (c) Algorithm step 3: linear non-uniformity correction; (d) Algorithm step 4: inverse non-linear mapping
    Schematic diagram of the proposed algorithm
    Fig. 3. Schematic diagram of the proposed algorithm
    (a) Image gray distribution before correction; (b) Result for NUC of the proposed algorithm; (c) Result for NUC of typical curve fitting based algorithm;(d) Result for NUC of multi-point correction algorithm
    Fig. 4. (a) Image gray distribution before correction; (b) Result for NUC of the proposed algorithm; (c) Result for NUC of typical curve fitting based algorithm;(d) Result for NUC of multi-point correction algorithm
    (a) Semi-real infrared remote sensing image before correction; (b) Result for NUC of the proposed algorithm; (c) Result for NUC of curve fitting based algorithm; (d) Result for NUC of multi-point correction algorithm
    Fig. 5. (a) Semi-real infrared remote sensing image before correction; (b) Result for NUC of the proposed algorithm; (c) Result for NUC of curve fitting based algorithm; (d) Result for NUC of multi-point correction algorithm
    ParameterBlackbody temperature/KImage before correctionImage after correction
    Proposed algorithmCurve fitting based algorithmMultipoint correction algorithm
    Ur34022.86%0.41%0.59%1.27%
    30514.40%0.33%0.31%0.93%
    2759.86%0.38%0.39%0.77%
    2408.23%0.49%0.44%1.46%
    $ \rho $3400.48000.06850.07390.0991
    3050.28510.03960.04110.0570
    2750.18430.02880.02510.0361
    2400.16870.02450.02600.0324
    Table 1. Performance parameters of artificial blackbody images non-uniformity corrected by different algorithms
    ParameterImage before correctionImage after correction
    Proposed algorithmCurve fitting based algorithmMultipoint correction algorithm
    Ur13.69%11.33%11.62%12.17%
    $ \rho $0.11930.08470.08930.1028
    Table 2. Performance parameters of semi-real infrared remote sensing image non-uniformity corrected by different algorithms
    Dabao Wang, Zhongguo Wang, Mingxuan Wu, Chao Zhang, Yue Hu. Non-uniformity correction algorithm of space-borne long-wave infrared focal plane arrays based on improved Gamma curve[J]. Infrared and Laser Engineering, 2022, 51(5): 20210510
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