On the basis of artificial neural network (ANN) model, this paper presents an algorithm for inversing snow depth with use of AMSR-E (Advanced Microwave Scanning Radiometer-Earth Observing System (EOS)) dataset, i.e., ...On the basis of artificial neural network (ANN) model, this paper presents an algorithm for inversing snow depth with use of AMSR-E (Advanced Microwave Scanning Radiometer-Earth Observing System (EOS)) dataset, i.e., brightness temperature at 18.7 and 36.5GHz in Qinghai-Tibet Plateau during the snow season of 2002-2003. In order to overcome the overfitting problem in ANN modeling, this methodology adopts a Bayesian regularization approach. The experiments are performed to compare the results obtained from the ANN-based algorithm with those obtained from other existing algorithms, i.e., Chang algorithm, spectral polarization difference (SPD) algorithm, and temperature gradient (TG) algorithm. The experimental results show that the presented algorithm has the highest accuracy in estimating snow depth. In addition, the effects of the noises in datasets on model fitting can be decreased due to adopting the Bayesian regularization approach.展开更多
The 2015 Nobel Prize in Physiology or Medicine has been awarded to Youyou Tu,William C.Campbell and Satoshiōmura for the discoveries of artemisinin and avermectin.Their efficacy on parasitic disease treatment won the...The 2015 Nobel Prize in Physiology or Medicine has been awarded to Youyou Tu,William C.Campbell and Satoshiōmura for the discoveries of artemisinin and avermectin.Their efficacy on parasitic disease treatment won the recognition of the whole world once again,revealing the dawning of the second＂Golden age＂in the development of natural products（http：//dwz.cn/2u0Rb E）.展开更多
基金Under the auspices of Special Basic Research Fund for Central Public Scientific Research Institutes (No. 2007-03)
文摘On the basis of artificial neural network (ANN) model, this paper presents an algorithm for inversing snow depth with use of AMSR-E (Advanced Microwave Scanning Radiometer-Earth Observing System (EOS)) dataset, i.e., brightness temperature at 18.7 and 36.5GHz in Qinghai-Tibet Plateau during the snow season of 2002-2003. In order to overcome the overfitting problem in ANN modeling, this methodology adopts a Bayesian regularization approach. The experiments are performed to compare the results obtained from the ANN-based algorithm with those obtained from other existing algorithms, i.e., Chang algorithm, spectral polarization difference (SPD) algorithm, and temperature gradient (TG) algorithm. The experimental results show that the presented algorithm has the highest accuracy in estimating snow depth. In addition, the effects of the noises in datasets on model fitting can be decreased due to adopting the Bayesian regularization approach.
文摘The 2015 Nobel Prize in Physiology or Medicine has been awarded to Youyou Tu,William C.Campbell and Satoshiōmura for the discoveries of artemisinin and avermectin.Their efficacy on parasitic disease treatment won the recognition of the whole world once again,revealing the dawning of the second＂Golden age＂in the development of natural products（http：//dwz.cn/2u0Rb E）.
