Neural network approach for aerosol retrieval

被引：0

作者：

Okada, Y ^{[1
]}

Mukai, S ^{[1
]}

Sano, I ^{[1
]}

机构：

[1] Kinki Univ, Fac Sci & Technol, Osaka 5778502, Japan

来源：

IGARSS 2001: SCANNING THE PRESENT AND RESOLVING THE FUTURE, VOLS 1-7, PROCEEDINGS | 2001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：

Neural network technique for nonlinear problem is applied for aerosol retrieval using satellite data. First the numerical results given by light scattering simulafions in an atmosphere-ocean system are stored into lookkUp Table (LUT), and then the LUT is learned by our neural network system. After this learning process our neural network cc)de is applied to retrieve aerosol properties over the (wean using ADEOS/OCTS data. It is shown that neural network technique is possible to reduce the processing time, and our code looks promising for effective aensol retrieval in a global scale.

引用

页码：1716 / 1718

页数：3

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