UAV Hyperspectral Remote Sensing Image Classification: A Systematic Review
In recent years, significant advances in unmanned aerial vehicle (UAV) technology and hyperspectral remote sensing have spurred rapid and innovative developments in UAV-based hyperspectral image (HSI) classification across a range of fields, including environmental monitoring, precision agriculture,...
Saved in:
Main Authors: | Zhen Zhang, Lehao Huang, Qingwang Wang, Linhuan Jiang, Yemao Qi, Shunyuan Wang, Tao Shen, Bo-Hui Tang, Yanfeng Gu |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10815625/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of Grapevines
by: Ronald P. Dillner, et al.
Published: (2025-01-01) -
Instructions on the Use of Unmanned Aerial Vehicles (UAVs)
by: Sri Charan Kakarla, et al.
Published: (2018-10-01) -
Instructions on the Use of Unmanned Aerial Vehicles (UAVs)
by: Sri Charan Kakarla, et al.
Published: (2018-10-01) -
Monitoring Moso bamboo (Phyllostachys pubescens) forests damage caused by Pantana phyllostachysae Chao considering phenological differences between on-year and off-year using UAV hyperspectral images
by: Anqi He, et al.
Published: (2025-01-01) -
Ensembles of spectral-spatial convolutional neural network models for classifying soil types in hyperspectral images
by: N.A. Firsov, et al.
Published: (2023-10-01)