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 utiliz

遥感论文CNN gabor 滤波 高分辨率图片 14 - 2017.12(P)_Hyperspectral Images Classification With Gabor Filtering and Convolutional Neural Network

CNN在遥感图像配准中的实现源代码，参考论文：利用深度卷积特征进行多时相遥感图像配准《Multi-Temporal Remote Sensing Image Registration Using Deep Convolutional Feature》