EVALUATION METHOD FOR INFORMATION CONTENT OF RASTER DATA USING FRACTAL DIMENSION

被引：0

作者：

Osaragi, Toshihiro ^{[1
]}

机构：

[1] Tokyo Inst Technol, Sch Environm & Soc, Tokyo, Japan

来源：

XXIV ISPRS CONGRESS IMAGING TODAY, FORESEEING TOMORROW, COMMISSION IV | 2022年 / 5-4卷

关键词：

raster data; geographic feature; information theory; fractal dimension; cell size; noisy channel;

D O I：

10.5194/isprs-annals-V-4-2022-75-2022

中图分类号：

P9 [自然地理学];

学科分类号：

0705 ; 070501 ;

摘要：

Raster data are obtained by dividing an entire study area into a regular grid of cells. Hence, raster data information depends on cell size as well as the shapes of geographical features to be rasterized. In this paper, we report on the construction of a method for evaluating the information content obtained from raster data using information theory. We also provide some numerical examples showing that the resulting information content can be expressed as a logistic function of cell size and that its parameters can be written as simple linear models with the fractal dimensions of the geographic features to be rasterized.

引用

页码：75 / 81

页数：7

共 12 条

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