Chinese Optics, Volume. 17, Issue 3, 595(2024)

Infrared reflection characteristics of the wall solved by improved whale optimization algorithm

LU ZHANG1, Jin-hao FAN1, Yu-xuan LU1, Lei ZHANG2, and Li FU1、*
Author Affiliations
  • 1Shenyang Aerospace University, Shenyang 110136, China
  • 2Shenyang Aircraft Design Institute, Shenyang 110136, China
  • show less

    The infrared reflection characteristics of the wall are characterized and solved by the bidirectional reflectance distribution function (BRDF). BRDF measurement currently has two problems to be addressed: it requires much experimental data and accuracy is not high enough. By constructing the reflection characteristic test platform of the wall target, an MR170 Fourier infrared spectroradiometer was used to obtain the target radiance at the incident angle and each reflection angle in the 2-15 μm band. For the stealth target, the RBF network was used to fit the radiance at the bands of 3-5 μm and 8-14 μm to eliminate atmospheric interference. Then, the BRDF values of the stealth targets in the above two bands were obtained. To improve the accuracy of the BRDF model, an improved whale optimization algorithm (IWOA) was proposed to invert BRDF model parameters, and a reflectivity-solving method based on BRDF was designed. The IWOA has a good effect on the parameter inversion of the BRDF calculation model. According to the reflection method and applying the obtained BRDF data, the reflectance 0.5496 and the relative error 6.17% are obtained, which meet the engineering requirements.

    Keywords
    Tools

    Get Citation

    Copy Citation Text

    LU ZHANG, Jin-hao FAN, Yu-xuan LU, Lei ZHANG, Li FU. Infrared reflection characteristics of the wall solved by improved whale optimization algorithm[J]. Chinese Optics, 2024, 17(3): 595

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Original Article

    Received: Jul. 13, 2023

    Accepted: Nov. 16, 2023

    Published Online: Jul. 31, 2024

    The Author Email:

    DOI:10.37188/CO.2023-0095

    Topics