【文件属性】：
文件名称：翻译——Transferred Deep Learning for Anomaly Detection in Hyperspectral Imagery
文件大小：1.08MB
文件格式：DOCX
更新时间：2021-09-13 08:37:30
遥感 深度学习 卷积神经网络
论文翻译。Abstract—In this letter, a novel anomaly detection framework
with transferred deep convolutional neural network (CNN) is
proposed. The framework is designed by considering the following
facts: 1) a reference data with labeled samples are utilized,
because no prior information is available about the image scene
for anomaly detection and 2) pixel pairs are generated to enlarge
the sample size, since the advantage of CNN can be realized
only if the number of training samples is sufficient. A multilayer
CNN is trained by using difference between pixel pairs generated
from the reference image scene. Then, for each pixel in the
image for anomaly detection, difference between pixel pairs,
constructed by combining the center pixel and its surrounding
pixels, is classified by the trained CNN with the result of