Verfahren und System zur Sar-Bildgebung auf Basis Lokaler Interpolationsfunktionen für Unregelmässige Abtastgeometrien

Details

Veröffentlichungs-Nr.

EP4729988

Anmeldetag

19. September 2025

Veröffentlichung

22. April 2026

Rechtsraum

EP

IPC

G01S13/90

Abstract

This disclosure relates generally to a method and system for local interpolation function (LIF) based synthetic aperture radar (SAR) imaging for irregular scanning geometries. Current available methods are computationally expensive, sensitive to initialization and lacks generalization, particularly when applied across sampling schemes in continuous sampling scale scenarios which is a key characteristic of irregular scanning geometries. The present disclosure achieves enhanced SAR image across various spatial coordinates. Noisy SAR images are obtained using Non-uniform Fast Fourier Transform (NUFFT) based Range Migration Algorithm (RMA). The noisy SAR image is mapped into a LIF feature map using an encoder of a trained LIF neural network. An enhanced SAR image is further predicted based on the LIF feature map using a decoder of the LIF neural network. The disclosed method for SAR image enhancement using LIF neural network is used for supply chain management, airport security screening, medical imaging and so on.

Anmelder

Firma

Tata Consultancy Services Limited

Land

🇮🇳 Indien