A Novel Semi-Supervised Dynamic Classifier Selection Method for HSI Classification Based on SP Segmentation

Author:

Ge Xiang1ORCID,Yu Xuexiang2,Yang Xu2

Affiliation:

1. Huainan City Construction and Development Planning and Design Institute, Huainan, China

2. School of Spatial Information and Surveying Engineering, Anhui University of Science and Technology, Huainan, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference41 articles.

1. A review and meta-analysis of generative adversarial networks and their applications in remote sensing;jozdani;Int J Appl Earth Observ Geoinf,2022

2. Dynamic Ensemble Learning With Multi-View Kernel Collaborative Subspace Clustering for Hyperspectral Image Classification

3. Dual graph convolutional network for hyperspectral image classification with limited training samples;he;IEEE Trans Geosci Remote Sens,2022

4. Dynamic ensemble selection for multi-class imbalanced datasets

5. Multi-source deep data fusion and super-resolution for downscaling sea surface temperature guided by generative adversarial network-based spatiotemporal dependency learning;kim;Int J Appl Earth Observ Geoinf,2023

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