Hyperspectral Image Sharpening Based on Deep Convolutional Neural Network and Spatial-Spectral Spread Transform Models

In order to improve the spatial resolution of hyperspectral(HS) image and minimize the spectral distortion, an HS and multispectral(MS) image fusion approach based on convolutional neural network(CNN) is proposed. The proposed approach incorporates the linear spectral mixture model and spatial-spectral spread transform model into the learning phase of network, aiming to fully exploit the spatial-spectral information of HS and MS images, and improve the spectral fidelity of fusion images. Experim...     

振动样品磁强计的磁性表征测量

基于振动样品磁强计的磁滞回线测试功能,以Co Zr薄膜、Fe_3O_4粉末和SrFe_(11.6)O_(19)粉末的样品为例,测试了磁滞回线。在准确调整样品鞍点的前提下,待测样品分别进行了通过制定粗测程序测试粗测磁滞回线,以及细测程序和相关磁滞回线。通过对比和分析所得的实验结果,展示了两种测试程序在实际测试中的作用及结果差异,粗测磁滞回线可以快速地提供样品大概的矫顽力、剩余磁化强度及饱和场等基本磁参量的取值范围,而细测磁滞回线提供了磁性材料的准确合理的矫顽力、剩余磁化强度及饱和场等基本磁参量。