A FRACTAL DIMENSION ESTIMATOR FOR MULTISPECTRAL IMAGES

被引：3
|
作者：
Ivanovici, Mihai [1 ]
机构：
[1] Transilvania Univ Brasov, Elect & Comp Dept, MIV Imaging & Vis Lab, Brasov, Romania
来源：
2022 12TH WORKSHOP ON HYPERSPECTRAL IMAGING AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS) | 2022年
关键词：
fractal dimension; box counting; multispectral fractal images; multispectral images;
D O I：
10.1109/WHISPERS56178.2022.9955091
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
We propose a fractal dimension estimator for multispectral images. The estimator is based on the probabilistic boxcounting classical approach extended to the multivariate domain of multiband images. In order to validate the estimator, we propose a fractal model for multispectral images based on the fractional Brownian motion. The generated synthetic multispectral fractal images have 7 statistically-independent spectral bands at specific wavelengths in the visible domain We apply the proposed approach for the complexity characterization of a widely-known remotely-sensed data set and conclude the article.
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页数：4
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