IMAGE DEHAZING BASED ON MULTISPECTRAL POLARIZATION IMAGING METHOD IN DIFFERENT DETECTION MODES
| Autor: | L. Y. Luo, R. D. Qiu, H. J. Zhao, Yu Zhang, Y. S. Ying |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
lcsh:Applied optics. Photonics
Physics Haze lcsh:T Image quality Multispectral image lcsh:TA1501-1820 02 engineering and technology Polarization (waves) lcsh:Technology 01 natural sciences 010309 optics symbols.namesake lcsh:TA1-2040 0103 physical sciences 0202 electrical engineering electronic engineering information engineering symbols Radiance Stokes parameters Degree of polarization 020201 artificial intelligence & image processing Mueller calculus lcsh:Engineering (General). Civil engineering (General) Remote sensing |
| Zdroj: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B1-2020, Pp 615-620 (2020) |
| ISSN: | 2194-9034 |
| DOI: | 10.5194/isprs-archives-xliii-b1-2020-615-2020 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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