Modeling study in remote sensing of air pollution measured data

被引：0

作者：

Andria, G ^{[1
]}

D'Orazio, A ^{[1
]}

Ekuakille, AL ^{[1
]}

Notarnicola, M ^{[1
]}

机构：

[1] Politecn Bari, Dipartimento Elettrotecn & Elettr, I-70125 Bari, Italy

来源：

IMTC/2000: PROCEEDINGS OF THE 17TH IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE: SMART CONNECTIVITY: INTEGRATING MEASUREMENT AND CONTROL | 2000年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The aim of this work is to study modeling of air pollution measured data that are remotely sensed through appropriate instrumentation. Modeling is basically important in order to validate measured data. We use spatial and bidimensional modeling to reduce uncertainty in recovering data. We also use gaussian model and we study the possibility of decreasing recovering error by using mathematical parameters.

引用

页码：782 / 785

页数：4

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