Superpixel-Level Hybrid Discriminant Analysis for Hyperspectral Image Feature Extraction-Reference-Cited by-同舟云学术

Superpixel-Level Hybrid Discriminant Analysis for Hyperspectral Image Feature Extraction

Published:2022 Issue: Volume:60 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhang Shuzhen¹^ORCID,Lu Ting²^ORCID,Fu Wei³^ORCID,Li Shutao²^ORCID

Affiliation:

1. Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Hunan University, Changsha, China

2. College of Electrical and Information Engineering and the Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Hunan University, Changsha, China

3. College of Computer Science and Electronic Engineering, Hunan University, Changsha, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Hunan Provincial Natural Science Foundation of China

Project Funded by China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09919194.pdf?arnumber=9919194

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1. Superpixel‐guided locality preserving projection and spatial–spectral classification for hyperspectral image;Electronics Letters;2024-07

2. Empirical Mode Decomposition Based Morphological Profile For Hyperspectral Image Classification;2023 6th International Conference on Pattern Recognition and Image Analysis (IPRIA);2023-02-14

3. BAMS-FE: Band-by-Band Adaptive Multiscale Superpixel Feature Extraction for Hyperspectral Image Classification;IEEE Transactions on Geoscience and Remote Sensing;2023

4. Spectral–Spatial and Superpixelwise Unsupervised Linear Discriminant Analysis for Feature Extraction and Classification of Hyperspectral Images;IEEE Transactions on Geoscience and Remote Sensing;2023