随着学习材料的增多，我们试图以一种简便有效的方式将相关材料整理汇总，以便进一步研究。下面的材料是近一段时间以来关于机器学习及其在遥感图像的应用的方面的论文和代码材料汇总。
With the increasing of learning material, we are trying to have a simple and effective way to collect related materials for further study. The following materials is something about machine learning and its application of remote sensing image papers and source code recently.
待补充
- Stanford Course— 斯坦福机器学习课程
- Deep Learning for Remote Sensing Data— 遥感数据的深度学习应用
- Reproducible Research in Computational Science— 计算机科学领域有价值的参考
- MachineLearningResourceGuide— 机器学习参考手册
- A Deep Belief Network for Classifying Remotely-Sensed Hyperspectral Data— 将深度信念网络用于遥感高光谱数据分类
- Land Use Classification in Remote Sensing Images by Convolutional Neural Networks— 使用卷积神经网络进行遥感图像分类
- Multiview Deep Learning for Land-Use Classification—土地利用分类的多视角深度学习
- A Color-Texture-Structure Descriptor for High-Resolution Satellite Image Classification—高分辨率卫星图像分类的颜色纹理结构描述符
- Deep learning based classification of hyperspectral data—高光谱数据的深度学习分类方法
- Unsupervised Deep Feature Extraction for Remote Sensing Image Classification—无监督深特征提取的遥感图像分类
- 基于DBN模型的遥感图像分类
- High-resolution satellite scene classification using a sparse coding based multiple feature combination—使用稀疏编码的高分辨率卫星场景分类基于多特征组合
- Cluster structured sparse representation for high resolution satellite image classification—群集结构稀疏表示用于高分辨率卫星图像分类
- ELM-Tutorial—ELM相关介绍
- FCN—FCN相关介绍
- Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery—高分辨率遥感影像的场景分类转移深卷积神经网络
- CNN for Image Retrieval— 深度学习Matlab库matconvnet
- Transfer Learning— 迁移学习
- Multi label Image Classification— 多标签图像分类
- Deep Learning for Land-cover Classification in Hyperspectral Images— 基于高光谱数据的图像内分类
- ImageClassification— 图像分类常用方法
- A subpixel convolutional neural network implementation with Tensorflow— 卷积神经网络的Tensorflow实现
- LULC图像检索— 基于MatconvNet
- Classification in Remote Sensing Optical Images by CNNs— 使用caffe对21类遥感图像分类
- opencv 图像处理领域活跃的博主
- Ross Girshick的博客-计算机视觉领域