Opticurve: an optimized informer-curvelet framework for enhanced hyperspectral image segmentation and classification

Hyperspectral image (HSI) classification is crucial for applications in climate action, land use analysis, disaster risk reduction, and informed decision-making, given the complex spatial and spectral variations inherent in HSI data. Traditional methods struggle with accurately capturing these varia...

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Bibliographic Details
Main Authors: Kailash Shaw, Choo Wou Onn, Baihua Li
Format: Default Article
Published: 2025
Subjects:
Hyperspectral image classification
Linformer-Curvelet transform
Feature extraction
Climate action
Disaster risk reduction
Land use
Online Access:https://hdl.handle.net/2134/28264256.v1
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