Verfahren und System zur Erzeugung einer Entscheidungsfusionierten Klassifizierung Mithilfe Verschiedener Modalitäten in Fernerfassungsanwendungen

Details

Veröffentlichungs-Nr.

EP4776241

Anmeldetag

5. Dezember 2025

Veröffentlichung

15. Juli 2026

Rechtsraum

EP

IPC

G06V10/80, G06V20/13

Abstract

The disclosure relates generally to method and system to generate decision-fused classification map using different modalities in remote sensing applications. In remote sensing applications, the problem of missing data from satellite images occurs due to various environmental factors and spatial resolution provides inconsistent class labels during segmentation. The method receives from each satellite among a plurality of satellites a plurality of remote sensing images capturing a land use and land cover (LULC) geographical area on earth. Each pretrained classifier obtains the plurality of remote sensing images to generate a segmentation map. Further, Kolmogorov Arnold networks (KAN) decision fusion combines two or more closest segmentation maps using an ontological knowledge tree to determine a minimal common parent class based on at least one satisfying criteria. Finally, a fused classification map is generated to obtain finer grained LULC classes for each remote sensing image using the ontological knowledge tree.

Anmelder

Firma

Tata Consultancy Services Limited

Land

🇮🇳 Indien

Fachgebiete