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Author

P. Dabove

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Open access Sep 2026

A Multi-Modal Deep Learning Framework for High-Resolution Alpine Land Use/Land Cover

Accurate Land Use and Land Cover (LULC) mapping in high-resolution alpine environments is challenging due to complex terrain, heterogeneous vegetation, seasonal snow and ice cover, and the limited spectral information provided by conventional aerial imagery. Although foundation models such as the Segment Anything Model...

P. Dabove, Deepak Sairam Madhusudhana Rao, L. Olivotto et al. · 0 citations
Open access Aug 2026

Evaluating the Rover-Side Performance of a Low-Cost GNSS Station for High-Accuracy Positioning and ZTD Estimation

Abstract. The densification of GNSS Continuously Operating Reference Station (CORS) networks in mountainous regions is constrained by the high cost of geodetic-grade equipment. Low-cost (LC) multi-frequency GNSS receivers offer a viable alternative, yet their performance in challenging high-altitude Alpine environments...

M. Bagheri, P. Dabove, A. Masiero et al. · 0 citations
Open access Aug 2026

Improving GNSS Performances in Location-Based Services through Synthetic Carrier-Phase Measurements

This work investigates whether machine learning, supported by precise satellite orbits and clocks, can predict carrier phase observations during signal gaps with millimeter-level accuracy and demonstrates that geometry-aware gap prediction is feasible at the sub-wavelength level.

P. Dabove, M. Bagheri, N. Gogoi · 0 citations

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