1. Natural color representation of Sentinel-2 data
- Author
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Grega Milcinski, Miha Kadunc, Matej Batic, and Blaž Sovdat
- Subjects
Service (systems architecture) ,Earth observation ,Color representation ,010504 meteorology & atmospheric sciences ,Basis (linear algebra) ,Computer science ,business.industry ,0208 environmental biotechnology ,Multispectral image ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Soil Science ,Geology ,02 engineering and technology ,01 natural sciences ,020801 environmental engineering ,Product (mathematics) ,Natural (music) ,Satellite imagery ,Computer vision ,Artificial intelligence ,Computers in Earth Sciences ,business ,0105 earth and related environmental sciences ,Remote sensing - Abstract
The true color composite is a widely used Earth observation product for displaying satellite imagery. As it is often used in communication with non-expert audiences in various media, it is desirable that such a product approximates the color perceived by the human eye. Additionally, as the Sentinel-2 mission with its high resolution multispectral imagery and short revisit times is delivering unprecedented amounts of data, any algorithm for computing the composite should be efficient. In this paper we define the natural color product, propose two efficient approaches for computing it, analyze the results, and implement the products on a satellite imagery service for interactive use. Our algorithms work on a per-pixel basis and hence parallelize naturally. The presented approaches are general and not limited to Sentinel-2 data. more...
- Published
- 2019
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