SVG-based remote sensing image visualization and processing

Xiaoman Huang; Bo Zhao

doi:10.1117/12.713261

28 October 2006 SVG-based remote sensing image visualization and processing

Xiaoman Huang, Bo Zhao

Proceedings Volume 6419, Geoinformatics 2006: Remotely Sensed Data and Information; 64191N (2006) https://doi.org/10.1117/12.713261
Event: Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 2006, Wuhan, China

Abstract

Scalable Vector Graphics (SVG) is a newly developed format for efficient representation and transfer of vector graphics and raster images on the Internet. There have been a great number of researches conducted on the visualization of vector geospatial data in SVG. However, SVG format also has the advantages in the representation, transfer and processing of raster images. This paper begins with discussing the ways of representing remote sensing (RS) image in SVG and giving a visualization model of RS image according to the tree structure of SVG file and the multi-band characteristics of RS image data. Then experiments of RS image processing in SVG are conducted on a three-layer web platform, including spatial coordinate transformation, spatial enhancement and RS data fusion. The experiment results are given with code and the effects are demonstrated. And the possibility of further exploiting the potentials of SVG in RS image processing is discussed in the conclusion

Citation Download Citation

Xiaoman Huang and Bo Zhao "SVG-based remote sensing image visualization and processing", Proc. SPIE 6419, Geoinformatics 2006: Remotely Sensed Data and Information, 64191N (28 October 2006); https://doi.org/10.1117/12.713261

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KEYWORDS

Remote sensing

Image processing

Image visualization

Visualization

Image fusion

Image enhancement

Image compression

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