Integrating geophysical data sets using probabilistic methods

被引：1
|
作者：
Pendock, N
Nedeljkovic, V
机构：
[1] Department of Computational and Applied Mathematics, University of the Witswatersrand, Johannesburg, WITS 2050
来源：
INTERNATIONAL JOURNAL OF REMOTE SENSING | 1997年 / 18卷 / 07期
关键词：
D O I：
10.1080/014311697218331
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
Interpretation of geophysical data is greatly aided by the combined analysis of data from diverse sources. Probability theory provides a general framework for integrating geophysical data sets. We discuss the application of joint and conditional probability density functions (PDF) to the detection of anomalies and the prediction and interpolation of gee-variables. Density estimation techniques are discussed and illustrated on a geophysical data set from West Africa consisting of magnetic, elevation, and radiometric data.
引用
收藏
页码：1627 / 1635
页数：9
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