Author

P. Głomb

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Preprint Sep 2026

Agentic Multimodal Models for Environmental Hyperspectral Unmixing

Hyperspectral unmixing is a key task in remote sensing that aims to decompose mixed pixels in hyperspectral images into their constituent material signatures, or endmembers, and their fractional abundances. Conventional modular approaches estimate the scene composition through successive model-order estimation, endmemb...

M. Cholewa, Luca Ciampi, Nicola Messina et al. · 0 citations

Jul 2026

Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types

This paper constructs a dedicated multi-temporal Sentinel-2 dataset over the Warsaw region and derive binary ground-truth masks by rasterising official Polish topographic database building footprints onto the Sentinel-2 pixel grid.

M. Romaszewski, Kamil Drejer, Katarzyna Kołodziej et al. · arXiv.org · 0 citations