Using maps to automate the classification of remotely-sensed imagery

被引：2

作者：

Carlotto, MJ ^{[1
]}

机构：

[1] PACIFIC SIERRRA RES CORP,ARLINGTON,VA 22209

来源：

ALGORITHMS FOR MULTISPECTRAL AND HYPERSPECTRAL IMAGERY II | 1996年 / 2758卷

关键词：

digital cartographic data; maps; multispectral classification; bayesian inference; contextual information;

D O I：

10.1117/12.243238

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

引用

页码：40 / 50

页数：11

共 50 条

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[3] FAST MAXIMUM-LIKELIHOOD CLASSIFICATION OF REMOTELY-SENSED IMAGERY
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[10] A REVIEW AND ANALYSIS OF BACKPROPAGATION NEURAL NETWORKS FOR CLASSIFICATION OF REMOTELY-SENSED MULTISPECTRAL IMAGERY
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