Cover Image

Hybrid AI-Physical Modeling for Penetration Bias Correction in X-band InSAR DEMs: A Greenland Case Study

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mansour, Islam, Fischer, Georg, Haensch, Ronny, Hajnsek, Irena
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hybrid Machine Learning Model for Forest Height Estimation from TanDEM-X and Landsat Data
by: Mansour, Islam, et al.
Published: (2026)

Prompting Foundation Models for Zero-Shot Ship Instance Segmentation in SAR Imagery
by: Mansour, Islam, et al.
Published: (2026)

Very High-Resolution Forest Mapping with TanDEM-X InSAR Data and Self-Supervised Learning
by: Bueso-Bello, José-Luis, et al.
Published: (2025)

Target Characteristics on Rotation in Euclidean Space Using Full Polarimetric SAR Data
by: Dey, Subhadip, et al.
Published: (2024)

Active InSAR monitoring of building damage in Gaza during the Israel-Hamas War
by: Scher, Corey, et al.
Published: (2025)

An InSAR Phase Unwrapping Framework for Large-scale and Complex Events
by: Song, Yijia, et al.
Published: (2026)

When Less Is More: Simplicity Beats Complexity for Physics-Constrained InSAR Phase Unwrapping
by: Singh, Prabhjot, et al.
Published: (2026)

WILD-SAM: Phase-Aware Expert Adaptation of SAM for Landslide Detection in Wrapped InSAR Interferograms
by: Pan, Yucheng, et al.
Published: (2026)

TanDepth: Leveraging Global DEMs for Metric Monocular Depth Estimation in UAVs
by: Florea, Horatiu, et al.
Published: (2024)

A Deep Learning Approach for Spatio-Temporal Forecasting of InSAR Ground Deformation in Eastern Ireland
by: Yao, Wendong, et al.
Published: (2025)

Better Coherence, Better Height: Fusing Physical Models and Deep Learning for Forest Height Estimation from Interferometric SAR Data
by: Mahesh, Ragini Bal, et al.
Published: (2025)

Multi-class Seismic Building Damage Assessment from InSAR Imagery using Quadratic Variational Causal Bayesian Inference
by: Li, Xuechun, et al.
Published: (2025)

Normalizing flow-based deep variational Bayesian network for seismic multi-hazards and impacts estimation from InSAR imagery
by: Li, Xuechun, et al.
Published: (2023)

A multimodal Transformer for InSAR-based ground deformation forecasting with cross-site generalization across Europe
by: Yao, Wendong, et al.
Published: (2025)

Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays
by: Dack, Ethan, et al.
Published: (2025)

Safer Prompts: Reducing Risks from Memorization in Visual Generative AI
by: Reissinger, Lena, et al.
Published: (2025)

SARATR-X: Toward Building A Foundation Model for SAR Target Recognition
by: Li, Weijie, et al.
Published: (2024)

Physics-Guided Detector for SAR Airplanes
by: Huang, Zhongling, et al.
Published: (2024)

PCM-SAR: Physics-Driven Contrastive Mutual Learning for SAR Classification
by: Wang, Pengfei, et al.
Published: (2025)

PolSAR Image Classification using a Hybrid Complex-Valued Network (HybridCVNet)
by: Alkhatib, Mohammed Q.
Published: (2026)

Eliminating Registration Bias in Synthetic CT Generation: A Physics-Based Simulation Framework
by: Zimmermann, Lukas, et al.
Published: (2026)

Hybrid Vision Transformer_GAN Attribute Neutralizer for Mitigating Bias in Chest X_Ray Diagnosis
by: Solomon, Jobeal, et al.
Published: (2026)

When Generative Augmentation Hurts: A Benchmark Study of GAN and Diffusion Models for Bias Correction in AI Classification Systems
by: Gupta, Shesh Narayan, et al.
Published: (2026)

Physics-Informed Diffusion Models for SAR Ship Wake Generation from Text Prompts
by: Kamirul, Kamirul, et al.
Published: (2025)

A Complex-valued SAR Foundation Model Based on Physically Inspired Representation Learning
by: Wang, Mengyu, et al.
Published: (2025)

SAR-NAS: Lightweight SAR Object Detection with Neural Architecture Search
by: Yu, Xinyi, et al.
Published: (2025)

CrossEarth-SAR: A SAR-Centric and Billion-Scale Geospatial Foundation Model for Domain Generalizable Semantic Segmentation
by: Ye, Ziqi, et al.
Published: (2026)

SAR-AE-SFP: SAR Imagery Adversarial Example in Real Physics domain with Target Scattering Feature Parameters
by: Cui, Jiahao, et al.
Published: (2024)

A Hybrid Deep Learning Framework with Explainable AI for Lung Cancer Classification with DenseNet169 and SVM
by: Islam, Md Rashidul, et al.
Published: (2025)

Bias Analysis for Synthetic Face Detection: A Case Study of the Impact of Facial Attributes
by: Lamsaf, Asmae, et al.
Published: (2025)

Unsupervised Learning for Industrial Defect Detection: A Case Study on Shearographic Data
by: Plassmann, Jessica, et al.
Published: (2025)

Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting
by: Zhu, Xingyu, et al.
Published: (2024)

SAR-TEXT: A Large-Scale SAR Image-Text Dataset Built with SAR-Narrator and A Progressive Learning Strategy for Downstream Tasks
by: He, Yiguo, et al.
Published: (2025)

A Neurosymbolic Framework for Bias Correction in Convolutional Neural Networks
by: Padalkar, Parth, et al.
Published: (2024)

PASTE: Physics-Aware Scattering Topology Embedding Framework for SAR Object Detection
by: Chen, Jiacheng, et al.
Published: (2026)

IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition
by: Karantaidis, George, et al.
Published: (2024)

Hybrid Multi-Dimensional MRI Prostate Cancer Detection via Hadamard Network-Based Bias Correction and Residual Networks
by: Hamdan, Emadeldeen, et al.
Published: (2026)

RefLSM: Linearized Structural-Prior Reflectance Model for Medical Image Segmentation and Bias-Field Correction
by: Zhao, Wenqi, et al.
Published: (2025)

Towards Generalizable Deepfake Detection via Real Distribution Bias Correction
by: Liu, Ming-Hui, et al.
Published: (2026)

On the Status of Foundation Models for SAR Imagery
by: Inkawhich, Nathan
Published: (2025)