Automatic extraction of cartographic information from airborne interferometric SAR data

被引：0
|
作者：
Huber, R [1 ]
Schmieder, A [1 ]
机构：
[1] Salzburg Univ, Dept Comp Sci, A-5020 Salzburg, Austria
来源：
IMAGE PROCESSING, SIGNAL PROCESSING, AND SYNTHETIC APERTURE RADAR FOR REMOTE SENSING | 1997年 / 3217卷
关键词：
decision tree classifier; mathematical morphology; fractals; local statistics;
D O I：
10.1117/12.295600
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Automatic classification of regions towards cartographic feature extraction by the airborne AeS-1 instrument is presented. We extract regions corresponding to cartographic features for the classes built-up area, forest, water and open area. Water and built-up area are extracted from the intensity image. The use of a DEM as additional source of information allows to distinguish built-up land and forest from all other classes. The mathematical tools for feature extraction from intensity and DEM data are fractal dimension estimation and mathematical morphology. The classification is done employing a decision tree.
引用
收藏
页码：188 / 196
页数：9
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