Fusion of urban remote image based on multi-characteristics

A fusion approach is proposed to refine the resolution of urban multi-spectral images using the corresponding high-resolution panchromatic (PAN) images. Firstly, the two images are decomposed by wavelet transformation, and five texture features are extracted from high-frequency detailed sub-images. Then a multi-characteristics fusion rule is used to merge wavelet coefficients from the two images according to the extracted features. Experimental results indicate that, comparing with the non-characteristic methods, the proposed method can efficiently preserve the spectral information while improving the spatial resolution of the urban remote sensing images.     

Visual remote sensing image fusion using local correlation moment

In this paper a fusion method is proposed for merging a high-resolution panchromatic image and a lowresolution multispectral image. The algorithm is based on discrete wavelet transform (DWT). It uses correlation moment rule to the low frequency bands and local deviation rule to the high frequency bands separately. Experimental results indicate that the proposed approach outperforms the traditional methods.     

Boost电路稳压输出的变系数模糊积分控制

由于分布式能源具有随机性,对输出电压需要进行稳定性控制。常规PID控制参数固定,系统鲁棒性不高,模糊控制不需要精确数学模型的建立就具有极好的鲁棒性,但不能消除稳态误差。结合两者的特性,对Boost电路的输出电压采用模糊与积分的混合控制,组成新的PID控制器,利用输出电压和参考电压的大小关系,提出变因子实时调节模糊输入输出及积分系数,以优化PID各部分在调节误差不同阶段的作用。仿真结果表明,在输入电压和负载发生突变时,所提方法能快速的消除稳态误差,达到极高的控制精度,提高了系统的鲁棒性;在不引入软启动电路的情形下也能大大降低启动时刻的过冲电压,降低对系统的硬件要求,所提方法可以为实际应用做理论准备。     

Visual remote sensing image fusion using local correlation moment

In this paper a fusion method is proposed for merging a high-resolution panchromatic image and a low resolution multispectral image.The algorithm is based on discrete wavelet transform(DWT).It uses correlation moment rule to the low frequency bands and local deviation rule to the high frequency bands separately.Experimental results indicate that the proposed approach outperforms the traditional methods.