From center to surrounding: An interactive learning framework for hyperspectral image classification

This publication has 47 references indexed in Scilit:

• DSSNet: A Simple Dilated Semantic Segmentation Network for Hyperspectral Imagery Classification
  IEEE Geoscience and Remote Sensing Letters, 2020
• Multi-Scale and Multi-Task Deep Learning Framework for Automatic Road Extraction
  IEEE Transactions on Geoscience and Remote Sensing, 2019
• Multi-Scale Dense Networks for Hyperspectral Remote Sensing Image Classification
  IEEE Transactions on Geoscience and Remote Sensing, 2019
• Beyond the Patchwise Classification: Spectral-Spatial Fully Convolutional Networks for Hyperspectral Image Classification
  IEEE Transactions on Big Data, 2019
• Multi-Granularity Self-Attention for Neural Machine Translation
  2019
• 2018 IEEE GRSS Data Fusion Contest: Multimodal Land Use Classification [Technical Committees]
  IEEE Geoscience and Remote Sensing Magazine, 2018
• Object-based classification of hyperspectral data using Random Forest algorithm
  Geo-spatial Information Science, 2017
• A new kernel method for hyperspectral image feature extraction
  Geo-spatial Information Science, 2017
• Principal component analysis
  Chemometrics and Intelligent Laboratory Systems, 1987
• Learning representations by back-propagating errors
  Nature, 1986