Open-Set Cross-Domain Hyperspectral Image Classification Based on Manifold Mapping Alignment-Reference-Cited by-同舟云学术

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Open-Set Cross-Domain Hyperspectral Image Classification Based on Manifold Mapping Alignment

Published:2024 Issue: Volume:17 Page:6241-6252
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Zhang Xiangrong¹^ORCID,Liu Baisen²^ORCID

Affiliation:

1. School of Management, Heilongjiang Institute of Technology, Harbin, China

2. College of Electrical and Information Engineering, Heilongjiang Institute of Technology, Harbin, China

Funder

Heilongjiang University of Engineering Science and Technology Innovation Team Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4609443/10330207/10520907.pdf?arnumber=10520907

Reference42 articles.

1. Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art

2. New Frontiers in Spectral-Spatial Hyperspectral Image Classification: The Latest Advances Based on Mathematical Morphology, Markov Random Fields, Segmentation, Sparse Representation, and Deep Learning

3. Advances in Spectral-Spatial Classification of Hyperspectral Images

4. Generation of Spectral–Temporal Response Surfaces by Combining Multispectral Satellite and Hyperspectral UAV Imagery for Precision Agriculture Applications

5. Kernel Tensor Sparse Coding Model for Precise Crop Classification of UAV Hyperspectral Image

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