Multilabel Sample Augmentation-Based Hyperspectral Image Classification

Author:

Hao QiaoboORCID,Li ShutaoORCID,Kang XudongORCID

Funder

National Natural Science Fund of China

Science and Technology Plan Project Fund of Hunan Province

Science and Technology Talents Program of Hunan Association for Science and Technology

China Scholarship Council

Hunan Provincial Innovation Foundation For Postgraduate

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Cited by 17 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. HyperMLL: Toward Robust Hyperspectral Image Classification With Multisource Label Learning;IEEE Transactions on Geoscience and Remote Sensing;2024

2. DGSSC: A Deep Generative Spectral-Spatial Classifier for Imbalanced Hyperspectral Imagery;IEEE Transactions on Circuits and Systems for Video Technology;2023-04

3. Iterative Training Sample Augmentation for Enhancing Land Cover Change Detection Performance With Deep Learning Neural Network;IEEE Transactions on Neural Networks and Learning Systems;2023

4. Cloud based tumour detection system;SUSTAINABLE DEVELOPMENTS IN MATERIALS SCIENCE, TECHNOLOGY AND ENGINEERING: Sustainable Development in Material Science of Today Is the Innovation of Tomorrow;2023

5. Multiple Superpixel Graphs Learning Based on Adaptive Multiscale Segmentation for Hyperspectral Image Classification;Remote Sensing;2022-01-31

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