Dynamic Weighted Residual Ensemble Learning for Hyperspectral Image Classification Driven by Features and Samples

Author:

Wang Jing,Yang Guoguo,Lu Hongliang

Publisher

Elsevier BV

Reference44 articles.

1. Hyperspectral image data analysis;D Landgrebe;IEEE Signal Process. Mag,2022

2. Hyperspectral Anomaly Detection: A survey;H Su;IEEE Geosci. Remote Sens. Mag,2022

3. Superpixel-Based Weighted Collaborative Sparse Regression and Reweighted Low-Rank Representation for Hyperspectral Image Unmixing;H Su;IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens,2022

4. Automatic Live and Dead Cell Classification via Hyperspectral Imaging;H Chen;10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS,2019

5. Generation of Spectral-Temporal Response Surfaces by Combining Multispectral Satellite and Hyperspectral UAV Imagery for Precision Agriculture Applications;C M Gevaert;IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens,2015

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