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M2S2: A Publicly Available Multispectral Dataset for Satellite Material Segmentation

NOTE: The data files for this dataset are currently undergoing a formal Public Release (PA) review. The full dataset (32.9GB) will be uploaded to this repository upon final approval. This repository serves as the permanent citable location for the dataset.

Dataset Description

We introduce M2S2, a publicly available multispectral dataset for satellite material segmentation, comprising RGB-approximated synthetic multispectral imagery and hardware-in-the-loop (HIL) true multispectral data across three satellite geometries (Voyager, ISS, Hubble) with up to 11 material classes.

This dataset provides a standardized benchmark for developing and evaluating multispectral segmentation methods tailored to space-based scenarios. The synthetic domain consists of RGB-approximated multispectral renderings, while the HIL domain contains true multispectral imagery from the TOUCAN sensor.

Citation Information

This dataset is the official supplement to our paper: M2S2: Multispectral Dataset for Material Segmentation of Satellites

Presented at the 15th IEEE Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS) 2025.

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