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Direct Fusion of Geostationary Meteorological Satellite Visible and Infrared Images Based on Thermal Physical Properties
- Source :
- Sensors, Vol 15, Iss 1, Pp 703-714 (2015), Sensors, Volume 15, Issue 1, Pages 703-714, Sensors (Basel, Switzerland)
- Publication Year :
- 2015
- Publisher :
- MDPI AG, 2015.
-
Abstract
- This study investigated a novel method of fusing visible (VIS) and infrared (IR) images with the major objective of obtaining higher-resolution IR images. Most existing image fusion methods focus only on visual performance and many fail to consider the thermal physical properties of the IR images, leading to spectral distortion in the fused image. In this study, we use the IR thermal physical property to correct the VIS image directly. Specifically, the Stefan-Boltzmann Law is used as a strong constraint to modulate the VIS image, such that the fused result shows a similar level of regional thermal energy as the original IR image, while preserving the high-resolution structural features from the VIS image. This method is an improvement over our previous study, which required VIS-IR multi-wavelet fusion before the same correction method was applied. The results of experiments show that applying this correction to the VIS image directly without multi-resolution analysis (MRA) processing achieves similar results, but is considerably more computationally efficient, thereby providing a new perspective on VIS and IR image fusion.
- Subjects :
- fusion
Infrared
Computer science
lcsh:Chemical technology
Biochemistry
Article
Analytical Chemistry
Image (mathematics)
Thermal
lcsh:TP1-1185
Computer vision
infrared image
Electrical and Electronic Engineering
Instrumentation
Remote sensing
Image fusion
Fusion
business.industry
Perspective (graphical)
Atomic and Molecular Physics, and Optics
geostationary satellite
Geostationary orbit
Artificial intelligence
visible image
Focus (optics)
business
Subjects
Details
- ISSN :
- 14248220
- Volume :
- 15
- Database :
- OpenAIRE
- Journal :
- Sensors
- Accession number :
- edsair.doi.dedup.....e026c45b96c19abba15116c5edcaa0ba