@inproceedings{8ec080d97273461ebbf1242468fec0dd,
title = "Study on shortwave infrared multispectral horizontal imgaing performance under haze weather condition",
abstract = "Haze weather has always degraded the visibility and clarity of the distanced targets of image sensing. Short wave infrared (SWIR) spectral region has been a good candidate to extend the imaging distant in hazy days. In this paper, we present a horizontal imaging model of SWIR multispectral imaging in hazy weather and the corresponding dehazing method. We performed SWIR multispectral imaging experiments under the different haze conditions. The optical aerosol properties are retrieved from the pm 2.5 concentration and AERNET data using Mie Theory. Finally, the aerosol optical properties is applied in the dehazing method to improve contrast of the obscured multispectral SWIR images.",
keywords = "Haze weather, Image dehazing, Multispectral imaging, Particulate matter, Short wave infrared",
author = "Yan Yuan and Lai Zhang and Lijuan Su and Zimu Ye",
note = "Publisher Copyright: {\textcopyright} 2019 SPIE.; Applications of Digital Image Processing XLII 2019 ; Conference date: 12-08-2019 Through 15-08-2019",
year = "2019",
doi = "10.1117/12.2543389",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Tescher, \{Andrew G.\} and Touradj Ebrahimi",
booktitle = "Applications of Digital Image Processing XLII",
address = "美国",
}