Dimensionality Reduction Techniques with Hydranet Framework for HSI Classification
Author:
Affiliation:
1. University of Dubai,College of Engineering and IT,Dubai,UAE
2. Mohammed Bin Rashed Space Centre,Dubai,UAE
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9897158/9897159/09897740.pdf?arnumber=9897740
Reference22 articles.
1. Using Band Subset Selection For Dimensionality Reduction In Superpixel Segmentation Of Hyperspectral Imagery
2. HydraNets: Specialized Dynamic Architectures for Efficient Inference
3. Matrix Computations
4. Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks
5. Hyperspectral image classification based on deep attention graph convolutional network;bai;IEEE Transactions on Geoscience and Remote Sensing,2021
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Cross-Scene Classification of Hyperspectral Images via Generative Adversarial Network in Latent Space;IEEE Transactions on Geoscience and Remote Sensing;2023
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