Hyperspectral Image Classification Based on Convolutional Neural Network Embedded with Attention Mechanism and Shadow Enhancement by Dynamic Stochastic Resonance

Author:

Liu Qiuyue1,Liu Xuefeng1,Zhang Shan1,Fu Min2

Affiliation:

1. Qingdao University of Science and Technology,College of Automation and Electronic Engineering,Qingdao,China

2. Ocean University of China,College of Information Science and Engineering,Qingdao,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Reference29 articles.

1. Review of white box methods for explanations of convolutional neural networks in image classification tasks;meghna p;Journal of Electronic Imaging,2021

2. A review of deep learning used in the hyperspectral image analysis for agriculture

3. Aircraft detection in SAR image based on convolutional neural network and attention mechanism;liu;Journal of System Engineering and Electronic Technology,2021

4. Effect of attention mechanism in deep learning-based remote sensing image processing: A systematic literature review;saman;Remote Sensing,2021

5. An in-depth analysis of hyperspectral target detection with shadow compensation via LiDAR;emrah;Signal Processing Image Communication,2021

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