Reliability aspects of vegetation monitoring with high resolution remote sensing images

被引：0
|
作者：
Janssen, JAM [1 ]
Kloosterman, EH [1 ]
Jordans, RWL [1 ]
Hartmann, RA [1 ]
Jorritsma, JS [1 ]
机构：
[1] Minist Transport Publ Works & Water Management, Rijkswaterstaat, Survey Dept, NL-2600 GA Delft, Netherlands
来源：
OPERATIONAL REMOTE SENSING FOR SUSTAINABLE DEVELOPMENT | 1999年
关键词：
D O I：
暂无
中图分类号：
P9 [自然地理学]; K9 [地理];
学科分类号：
0705 ; 070501 ;
摘要：
In this paper a qualitative model for uncertainty in vegetation mapping with high resolution digital images is presented. The paper focuses on image classification uncertainties. Tests with images of salt marsh areas on the island of Ameland showed that image stratification, class generalisation, merging of training samples and filtering techniques had a positive effect on overall classification accuracy.
引用
收藏
页码：53 / 60
页数：8
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