The HYPSO Toolbox for Hyperspectral Image Processing

For researchers delving into the world of hyperspectral imaging, particularly those focusing on marine environments, the HYPSO satellite mission provides relevant data. HYPSO-1, launched in 2022, and its successor, HYPSO-2, collect data using a special type of camera that captures hyperspectral images. This allows for detailed Earth surface analysis, such as our oceans. To simplify the data handling of the HYPSO images, we developed the HYPSO Toolbox. This Python package enables you to process images captured by the HYPSO satellites.

The HYPSO Toolbox provides researchers with a set of functionalities for working with hyperspectral imagery, such as:

• Data Ingestion: import and load HYPSO-1 and HYPSO-2 image data for further processing.
• Pre-processing: Essential steps like radiometric calibration and atmospheric correction are available through the toolbox.
• Spectral Analysis: The toolbox provides tools to leverage the spectral information within the images. This involves techniques related to band manipulation, spectral unmixing, and identification of specific materials based on their unique spectral signatures.
• Visualization: Effective data visualization is crucial for scientific exploration. The toolbox offers functionalities to create clear and informative visualizations of the processed hyperspectral data.

Documentation for the toolbox can be found here. The soruce code can be viewed here.