The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B1-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 615–620, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-615-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 615–620, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-615-2020

  06 Aug 2020

06 Aug 2020

IMAGE DEHAZING BASED ON MULTISPECTRAL POLARIZATION IMAGING METHOD IN DIFFERENT DETECTION MODES

Y. Zhang, L. Y. Luo, H. J. Zhao, R. D. Qiu, and Y. S. Ying Y. Zhang et al.
  • School of Instrumentation Science & Opto-electronics Engineering, Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing, 100191, China

Keywords: Polarization detection, Image dehazing, Near-earth remote sensing, Polarization spectral analysis, Airlight polarization model, Polarization-based dehazing

Abstract. In haze, the quality of the images is degraded due to the scattering of atmospheric aerosol particles in near-earth remote sensing. Therefore, how to effectively remove the influence of haze and improve image quality has been a hot issue. A polarization spectral image dehazing method is proposed here. A multi-spectral full-polarization imager was used to detect the polarization spectral images of ground objects. Firstly, the maximum- and minimum-intensity polarization images were obtained from the relationship between the Stokes vector and the Mueller matrix. Secondly, the airlight polarization model was utilized to estimate the airlight radiance at an infinite distance and the degree of polarization of the airlight. At last, the atmospheric attenuation model was used to obtain dehazed images. The results proved that our proposed image dehazing method can achieve substantial improvements on the detail recovery, not only in vertical downward detection mode, but also in horizontal detection mode.