Aerosol retrieval from remote sensing image using artificial neural network

机译：来自遥感图像的气溶胶检索使用人工神经网络

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The usual method of aerosol retrieval using remote sensing is interpolation of look-up-table (LUT), but it is too time-consuming. However, artificial neural network for nonlinear problem has been not applied widely for aerosol retrieval before. In this paper, aerosol optical depth (AOD) is retrieved using two methods: interpolation and neural network. Then, the retrieval capabilities of the two methods were compared. By comparison, not only is the retrieval error of the neural network within acceptable range, but also it can reduce much processing time.

机译：使用遥感的常规方法的气溶胶检索是查找表（LUT）的插值，但它太耗了。然而，用于非线性问题的人工神经网络已经没有广泛应用于以前的气溶胶检索。本文使用两种方法检索气溶胶光学深度（AOD）：插值和神经网络。然后，比较了两种方法的检索能力。相比之下，不仅是神经网络在可接受范围内的检索误差，而且还可以减少大量处理时间。

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《International Conference on Computer Application and System Modeling》|2010年||共5页
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Houmao Wang; Jiakui Tang;
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中图分类 TP3-53;
关键词
Aerosol optical depth; artificial neural network; interpolation; look-uptables; remote sensing;

机译：气溶胶光学深度;人工神经网络;插值;看起来;遥感;

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1. Improved representation of diurnal variability of rainfall retrieved from the Tropical Rainfall Measurement Mission Microwave Imager adjusted Precipitation Estimation From Remotely Sensed Information Using Artificial Neural Networks (PERSIANN) system [J] . Yang Hong, Kuo-Lin Hsu, Soroosh Sorooshian, Journal of Geophysical Research, D. Atmospheres: JGR . 2005,第d6期

机译：使用人工神经网络（PERSIANN）系统从热带雨量测量任务微波成像仪调整的遥感信息中估计的降水估算中检索到的降水的日变化的改进表示
2. Optimisation of fishing predictions by means of artificial neural networks, anfis, functional networks and remote sensing images [J] . Alfonso Iglesias Nuno, Bernardino Arcay, J. M. Cotos, Expert Systems with Application . 2005,第2期

机译：通过人工神经网络，anfis，功能网络和遥感图像优化捕鱼预测
3. Comparison of Moderate Resolution Imaging Spectroradiometer (MODIS) and Aerosol Robotic Network (AERONET) remote-sensing retrievals of aerosol fine mode fraction over ocean [J] . R. G. Kleidman, N. T. ONeill, L. A. Remer, Journal of Geophysical Research, D. Atmospheres: JGR . 2005,第d22期

机译：中分辨率成像光谱仪（MODIS）和气溶胶机器人网络（AERONET）遥感反演海洋上的气溶胶精细模式分数的比较
4. Aerosol retrieval from remote sensing image using artificial neural network [C] . Houmao Wang, Jiakui Tang 2010 International Conference on Computer Application and System Modeling . 2010

机译：利用人工神经网络从遥感图像中提取气溶胶
5. Classification of SAR images and retrieval of remotely sensed parameters using neural networks. [D] . Rawat, Vikram Kumar. 1994

机译：SAR图像分类和使用神经网络检索遥感参数。
6. Sensor Performance Requirements for the Retrieval of Atmospheric Aerosols by Airborne Optical Remote Sensing [O] . Felix Seidel, Daniel Schläpfer, Jens Nieke, 2008

机译：机载光学遥感反演大气气溶胶的传感器性能要求
7. Improved representation of diurnal variability of rainfall retrieved from the Tropical Rainfall Measurement Mission Microwave Imager adjusted Precipitation Estimation From Remotely Sensed Information Using Artificial Neural Networks (PERSIANN) system [O] . Yang Hong, Kuo-Lin Hsu, Soroosh Sorooshian, 2005

机译：从热带降雨测量使命微波成像仪中检索的降雨量变异性的改进表示微波图像通过人工神经网络（PITSIANN）系统从远程感测的信息调整了降水估计

Aerosol retrieval from remote sensing image using artificial neural network

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