This article is based on the thermal infrared data obtained from Environmental mitigation B satellite (HJ-1B)
and Storm III satellite (FY-3), using generalized single-channel method, retrieved the surface temperature of
costal sea around the Tianwan Nuclear Power Plant in winter and summer to get the quantitative information about the diffusion and gradient of the thermal discharge from the nuclear power station. Then the retrieval
results were compared with the MODIS sea surface temperature (SST) products. It indicated that the thermal
infrared data from HJ-1B and FY-3 were able to research on the distribution of thermal discharge. Furthermore,
based on inversion of the SST distribution map, spatial and temporal distribution variations of thermal
discharge were analyzed simply. The distribution is significantly different among the different seasons. During the winter months, the thermal discharge extended to a sector area around the power station, while in summer
it limited to a rater longer and narrower area in one side of the bay. And the area where the SST has increased
more than 3 °C in winter was much larger than that in summer.
China Environment and disaster monitoring and forecasting satellite was successfully launched in 2008, the Infrared
Multispectral Camera (IRS) on the satellite compared to other similar instruments has outstanding features and widely
application. However, because it scans by multiple sensors and differential sensitivities of sensors to incoming radiation,
the images display periodic strips, it impacts follow-up quantitative research. In this paper, image processing methods,
including two-point algorithm based on image, histogram matching algorithm and moment matching algorithm are put
into practice in destriping IRS thermal infrared channel images, also called non-uniformity correction. By evaluating the
average line of standard deviation, the average standard deviation and generalized noise law, strips caused by nonuniformity
has been significantly removed. In addition, characteristic of image strips in the frequency domain is also
obvious.
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