NDLI: An improved fractal-based interpolation method for terrain imagery zooming

Content Provider	IEEE Xplore Digital Library
Author	Liu Zhigang Liu Daizhi Wang Renming
Copyright Year	2000
Description	Author affiliation: Xi'an Inst. of High Technol., China (Liu Zhigang)
Abstract	To get a terrain image in high spatial resolution, some algorithms are chosen to interpolate the existing coarse terrain data. It is proved that the fractal-based methods can lead to better visual quality than traditional ones such as the bilinear method and bicubic method, etc. However, the familiar method based on the fractal Brownian function model has shown its drawback when the terrain contains flat regions such as desert and ocean, since in these cases, the fractal features can not be calculated over flat regions and many unexpected ripples are created. This paper presents a new fractal-based interpolation algorithm for terrain imagery zooming that avoids unexpected rippling in the flat region while the local self-similarity is considered. The experimental results show that this technique can be applied to simulating terrain images produced by the optical sensor of a satellite at various altitudes.
Starting Page	963
Ending Page	965
File Size	315371
Page Count	3
File Format	PDF
ISBN	0780357477
DOI	10.1109/ICOSP.2000.891682
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-08-21
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fractals Interpolation Spatial resolution Optical sensors Satellites Shape Oceans Digital elevation models Image sensors Spline
Content Type	Text
Resource Type	Article

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