RaDiT: A Differential Transformer-Based Hybrid Deep Learning Model for Radar Echo Extrapolation

RaDiT: A Differential Transformer-Based Hybrid Deep Learning Model for Radar Echo Extrapolation

Radar echo extrapolation, a critical spatiotemporal sequence forecasting task, requires precise modeling of motion trajectories and intensity evolution from sequential radar reflectivity inputs. Contemporary deep learning implementations face two operational limitations: progressive attenuation of p...

Full description

Saved in:
Bibliographic Details
Main Authors: Wenda Zhu, Zhenyu Lu, Yuan Zhang, Ziqi Zhao, Bingjian Lu, Ruiyi Li
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Remote Sensing
Subjects:
differential transformer
spatiotemporal forecasting
attention noise suppression
adversarial training
radar echo extrapolation
Online Access:https://www.mdpi.com/2072-4292/17/12/1976
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items