Cover Image

AI-ready Snow Radar Echogram Dataset (SRED) for climate change monitoring

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ibikunle, Oluwanisola, Talasila, Hara, Varshney, Debvrat, Li, Jilu, Paden, John, Rahnemoonfar, Maryam
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Skip-WaveNet: A Wavelet based Multi-scale Architecture to Trace Snow Layers in Radar Echograms
by: Varshney, Debvrat, et al.
Published: (2023)

K-STEMIT: Knowledge-Informed Spatio-Temporal Efficient Multi-Branch Graph Neural Network for Subsurface Stratigraphy Thickness Estimation from Radar Data
by: Liu, Zesheng, et al.
Published: (2026)

3DAeroRelief: The first 3D Benchmark UAV Dataset for Post-Disaster Assessment
by: Le, Nhut, et al.
Published: (2025)

Multi-branch Spatio-Temporal Graph Neural Network For Efficient Ice Layer Thickness Prediction
by: Liu, Zesheng, et al.
Published: (2024)

GRIT-LP: Graph Transformer with Long-Range Skip Connection and Partitioned Spatial Graphs for Accurate Ice Layer Thickness Prediction
by: Liu, Zesheng, et al.
Published: (2025)

3D Semantic Segmentation for Post-Disaster Assessment
by: Le, Nhut, et al.
Published: (2025)

Learning Spatio-Temporal Patterns of Polar Ice Layers With Physics-Informed Graph Neural Network
by: Liu, Zesheng, et al.
Published: (2024)

ST-GRIT: Spatio-Temporal Graph Transformer For Internal Ice Layer Thickness Prediction
by: Liu, Zesheng, et al.
Published: (2025)

Geospatial Diffusion for Land Cover Imperviousness Change Forecasting
by: Varshney, Debvrat, et al.
Published: (2025)

RescueNet: A High Resolution UAV Semantic Segmentation Benchmark Dataset for Natural Disaster Damage Assessment
by: Rahnemoonfar, Maryam, et al.
Published: (2022)

Hierarchical Information-sharing Convolutional Neural Network for the Prediction of Arctic Sea Ice Concentration and Velocity
by: Koo, Younghyun, et al.
Published: (2023)

OPTNet: Ordering Point Transformer Network for Post-disaster 3D Semantic Segmentation
by: Le, Nhut, et al.
Published: (2026)

Geometric Flood Depth Estimation: Fusing Transformer-Based Segmentation with Digital Elevation Models
by: Le, Nhut, et al.
Published: (2026)

Think First, Assign Next (ThiFAN-VQA): A Two-stage Chain-of-Thought Framework for Post-Disaster Damage Assessment
by: Karimi, Ehsan, et al.
Published: (2025)

Instruct-ICL: Instruction-Guided In-Context Learning for Post-Disaster Damage Assessment
by: Zarbaft, Armin, et al.
Published: (2026)

ZeShot-VQA: Zero-Shot Visual Question Answering Framework with Answer Mapping for Natural Disaster Damage Assessment
by: Karimi, Ehsan, et al.
Published: (2025)

NeuRadar: Neural Radiance Fields for Automotive Radar Point Clouds
by: Rafidashti, Mahan, et al.
Published: (2025)

The Radar Ghost Dataset -- An Evaluation of Ghost Objects in Automotive Radar Data
by: Kraus, Florian, et al.
Published: (2024)

Self-Supervised Modality-Agnostic Pre-Training of Swin Transformers
by: Talasila, Abhiroop, et al.
Published: (2024)

V2X-Radar: A Multi-modal Dataset with 4D Radar for Cooperative Perception
by: Yang, Lei, et al.
Published: (2024)

DA-SegFormer: Damage-Aware Semantic Segmentation for Fine-Grained Disaster Assessment
by: Zhu, Kevin, et al.
Published: (2026)

Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap
by: Lindström, Carl, et al.
Published: (2024)

TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices
by: Rashid, Hasib-Al, et al.
Published: (2024)

Efficient Pyramid Channel Attention Network for Pathological Myopia Recognition
by: Zhang, Xiaoqing, et al.
Published: (2023)

HeRCULES: Heterogeneous Radar Dataset in Complex Urban Environment for Multi-session Radar SLAM
by: Kim, Hanjun, et al.
Published: (2025)

Marine Snow Removal Benchmarking Dataset
by: Kaneko, Reina, et al.
Published: (2021)

How Hard Is Snow? A Paired Domain Adaptation Dataset for Clear and Snowy Weather: CADC+
by: Tang, Mei Qi, et al.
Published: (2025)

Dataset for Real-World Human Action Detection Using FMCW mmWave Radar
by: jayabahu, Dylan, et al.
Published: (2024)

MOANA: Multi-Radar Dataset for Maritime Odometry and Autonomous Navigation Application
by: Jang, Hyesu, et al.
Published: (2024)

BioimageAIpub: a toolbox for AI-ready bioimaging data publishing
by: Dvoretskii, Stefan, et al.
Published: (2025)

Pyramid Pixel Context Adaption Network for Medical Image Classification with Supervised Contrastive Learning
by: Zhang, Xiaoqing, et al.
Published: (2023)

Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Driving
by: Armanious, Karim, et al.
Published: (2024)

RadarMP: Motion Perception for 4D mmWave Radar in Autonomous Driving
by: Cheng, Ruiqi, et al.
Published: (2025)

RadarCam-Depth: Radar-Camera Fusion for Depth Estimation with Learned Metric Scale
by: Li, Han, et al.
Published: (2024)

RadarSplat-RIO: Indoor Radar-Inertial Odometry with Gaussian Splatting-Based Radar Bundle Adjustment
by: Kung, Pou-Chun, et al.
Published: (2026)

Is SAM3 ready for pathology segmentation?
by: Kong, Qiuyu, et al.
Published: (2026)

3D Engine-ready Photorealistic Avatars via Dynamic Textures
by: Wang, Yifan, et al.
Published: (2025)

AI-driven visual monitoring of industrial assembly tasks
by: Nardon, Mattia, et al.
Published: (2025)

AdaRadar: Rate Adaptive Spectral Compression for Radar-based Perception
by: Park, Jinho, et al.
Published: (2026)

Radar Fields: Frequency-Space Neural Scene Representations for FMCW Radar
by: Borts, David, et al.
Published: (2024)