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Sensors 2014, 14(6), 10187-10202; doi:10.3390/s140610187

Thermal Physical Property-Based Fusion of Geostationary Meteorological Satellite Visible and Infrared Channel Images

1,2,* , 1
,
1
and
3,*
1
School of Information Science and Engineering, Ocean University of China, 238 Songling Road, Qingdao 266100, China
2
State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China
3
College of Engineering, Ocean University of China, 238 Songling Road, Qingdao 266100, China
*
Authors to whom correspondence should be addressed.
Received: 22 March 2014 / Revised: 21 May 2014 / Accepted: 30 May 2014 / Published: 10 June 2014
(This article belongs to the Section Remote Sensors)
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Abstract

Geostationary meteorological satellite infrared (IR) channel data contain important spectral information for meteorological research and applications, but their spatial resolution is relatively low. The objective of this study is to obtain higher-resolution IR images. One common method of increasing resolution fuses the IR data with high-resolution visible (VIS) channel data. However, most existing image fusion methods focus only on visual performance, and often fail to take into account the thermal physical properties of the IR images. As a result, spectral distortion occurs frequently. To tackle this problem, we propose a thermal physical properties-based correction method for fusing geostationary meteorological satellite IR and VIS images. In our two-step process, the high-resolution structural features of the VIS image are first extracted and incorporated into the IR image using regular multi-resolution fusion approach, such as the multiwavelet analysis. This step significantly increases the visual details in the IR image, but fake thermal information may be included. Next, the Stefan-Boltzmann Law is applied to correct the distortion, to retain or recover the thermal infrared nature of the fused image. The results of both the qualitative and quantitative evaluation demonstrate that the proposed physical correction method both improves the spatial resolution and preserves the infrared thermal properties. View Full-Text
Keywords: geostationary satellite; fusion; wavelet; infrared image geostationary satellite; fusion; wavelet; infrared image
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Han, L.; Shi, L.; Yang, Y.; Song, D. Thermal Physical Property-Based Fusion of Geostationary Meteorological Satellite Visible and Infrared Channel Images. Sensors 2014, 14, 10187-10202.

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