Hyperspectral image reconstruction by deep convolutional neural network for classification

作者：

Highlights：

• The feature enhancement step is introduced in the proposed HRCNN model because that the HSI is contaminated with noise.

• A new band selection method based on spatial features is proposed in this training model.

• A new exploration to combine CNN with ELM for HSI classification under a small training set is achieved.

摘要

•The feature enhancement step is introduced in the proposed HRCNN model because that the HSI is contaminated with noise.•A new band selection method based on spatial features is proposed in this training model.•A new exploration to combine CNN with ELM for HSI classification under a small training set is achieved.

论文关键词：Hyperspectral imagery,Deep convolutional neural network,Extreme learning machine,Reconstruction,Band selection,Pattern classification

论文评审过程：Received 22 May 2016, Revised 22 August 2016, Accepted 15 October 2016, Available online 18 October 2016, Version of Record 28 October 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2016.10.019