A Deep Learning-Based Hyperspectral Object Classification Approach via Imbalanced Training Samples Handling

A Deep Learning-Based Hyperspectral Object Classification Approach via Imbalanced Training Samples Handling

Object classification in hyperspectral images involves accurately categorizing objects based on their spectral characteristics. However, the high dimensionality of hyperspectral data and class imbalance pose significant challenges to object classification performance. To address these challenges, we...

Full description

Bibliographic Details
Main Authors: Md Touhid Islam, Md Rashedul Islam, Md Palash Uddin, Anwaar Ulhaq
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Remote Sensing
Subjects:
object classification
dimensionality reduction
non-negative matrix factorization
imbalanced data handling
deep learning
batch normalization
Online Access:https://www.mdpi.com/2072-4292/15/14/3532

Internet

https://www.mdpi.com/2072-4292/15/14/3532

Similar Items