论文学习,主要研究深度学习处理遥感影像和地名识别

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Paper-Learning

High resolution remote sensing imagery

  • Deep Learning Earth Observation Classification Using ImageNet Pretrained Networks
  • AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification
  • A Survey on Transfer Learning
  • How transferable are features in deep neural networks?
  • Transfer learning using convolutional neural networks for object classification within X-ray baggage security imagery
  • DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
  • Land Use and Land Cover Classification Using Deep Learning Techniques
  • Rethinking the Inception Architecture for Computer Vision
  • Very deep convolutional networks for large-scale image recognition
  • Deep Learning for Remote Sensing Data
  •  基于卷积神经网络的图像语义分割
  • 基于深度卷积神经网络的遥感影像车辆检测
  • 基于改进全卷积神经网络的航拍图像语义分类方法
  • 联合显著性和多层卷积神经网络的高分影像场景分类

Hyperspectral remote sensing imagery

  • Spectral–Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network
  • Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks
  • Deep Learning for Remote Sensing Data
  • BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification
  • Spectral–Spatial Feature Extraction for Hyperspectral Image Classification: A Dimension Reduction and Deep Learning Approach
  • Deep Residual Networks for Hyperspectral Image Classification
  • Spectral–Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework
  • Empirical Evaluation of Rectified Activations in Convolution Network
  • DualNet Learn Complementary Features for Image Recognition
  • 3D Convolutional Neural Networks For Human Action Recognition
  • Spectral-Spatial Classification of Hyperspectral Image Using Autoencoders
  • Spectral-Spatial Classification of Hyperspectral Imagery with 3D convolution neural network
  • Hyperspectral Remote Sensing Data Analysis and Future Challenges
  • Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks
  • DeepRoadMapper Extracting Road Topology from Aerial Image
  • Dynamic Routing Between Capsules
  • Densely Connected Convolutional Network
  • 3D Densely Connected Convolutional Network for the Recognition of Human Shopping Actions
  • Deep learning for semantic segmentation of remote sensing images with rich spectral content
  • Sparsely Connected Convolutional Networks
  • Residual Dense Network for Image Super-Resolution
  • Squeeze-and-Excitation Network
  • Spatial Transformer Networks
  • Deformable Convolutional Network
  • Hyperspectral Image Classification with Deep Feature Fusion Network
  • Recent Advances on Spectral-Spatial Hyperspectral Image Classification: An Overview and New Guidelines
  • Diracnets Training very deep neural networks without skip-connections
  •  从摄影测量到计算机视觉
  • 高光谱遥感数据光谱特征的提取与应用
  • 高光谱遥感图像空谱联合分类方法研究
  • 基于深度神经网络的高光谱影响分类方法研究
  • 一种利用空间和光谱信息的高光谱遥感多分类器动态集成算法
  • 高光谱遥感影像分类研究进展
  • 基于卷积神经网的高光谱数据特征提取及分类技术研究
  • 基于深度卷积神经网络的遥感图像处理
  • 基于卷积神经网络的高光谱数据分类方法研究
  • U-Net Convolutional Networks for Biomedical Image Segmentation
  • Mask R-CNN

NER-LOCATION

  • Bidirectional LSTM-CRF Models for Sequence Tagging
  • Neural Architectures for Named Entity Recognition
  • Character-Based LSTM-CRF with Radical-Level Features for Chinese Named Entity Recognition  

Books

  • 解析卷积神经网络 - 深度学习实践手册
  • Tensorflow实战Google深度学习框架
  • Tensorflow实战
  •  深度学习

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