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license: cc-by-4.0 |
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tags: |
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- multispectral |
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- satellite |
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- segmentation |
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- sim-to-real |
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- space-domain-awareness |
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--- |
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# M2S2: A Publicly Available Multispectral Dataset for Satellite Material Segmentation |
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**NOTE:** The data files for this dataset are currently undergoing a formal Public Release (PA) review. The full dataset (~33GB) will be uploaded to this repository upon final approval. This repository serves as the permanent citable location for the dataset. |
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## Dataset Description |
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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. |
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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. |
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## Citation Information |
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This dataset is the official supplement to our paper: `M2S2: Multispectral Dataset for Material Segmentation of Satellites` |
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To be presented at the 15th IEEE Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS) 2025. |
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