What question did this study set out to answer?

The aim is to create a cross-platform application for processing hyperspectral data efficiently.

April 4, 2026Open Access

HyperLab App

Key Points

The aim is to create a cross-platform application for processing hyperspectral data efficiently.
Developed using .NET MAUI and Blazor Hybrid for visualization.
Features local data ingestion and parsing for hyperspectral data.
Implements ML workflows like G-Mode and K-Means for data analysis.
Facilitates remote operations with an external HyperLab backend.
Incorporates metadata management and rich UI visualization.
Demonstrates effective processing of hyperspectral data with local and remote capabilities.
Enhances data analysis through integration of machine learning techniques.
Provides a user-friendly interface for visualization and management of data workflows.

Abstract

The solution is centered on `HyperLab`, a cross-platform `.NET MAUI` application targeting `.NET 10` and using a Blazor Hybrid host for part of its visualization layer. The application is designed for hyperspectral and spectral data analysis, combining: local file ingestion and parsing, scientific processing and mathematical helpers, ML/statistical workflows such as G-Mode and K-Means, remote operations against an external HyperLab backend, SLab-oriented data management and metadata workflows, rich UI visualization

Read Full Paperexternally

Perguntar à IA

Bookmark

View Full Paper