Cover Image

IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Ziyang, Angelov, Plamen, Kangin, Dmitry, Longépé, Nicolas
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unsupervised Domain Adaptation within Deep Foundation Latent Spaces
by: Kangin, Dmitry, et al.
Published: (2024)

UNICAD: A Unified Approach for Attack Detection, Noise Reduction and Novel Class Identification
by: Pellicer, Alvaro Lopez, et al.
Published: (2024)

i-WiViG: Interpretable Window Vision GNN
by: Obadic, Ivica, et al.
Published: (2025)

ProtoMedX: Towards Explainable Multi-Modal Prototype Learning for Bone Health Classification
by: Pellicer, Alvaro Lopez, et al.
Published: (2025)

ProtoMedAgent: Multimodal Clinical Interpretability via Privacy-Aware Agentic Workflows
by: Pellicer, Alvaro Lopez, et al.
Published: (2026)

MultiFloodSynth: Multi-Annotated Flood Synthetic Dataset Generation
by: Kang, YoonJe, et al.
Published: (2025)

Sensor-Adaptive Flood Mapping with Pre-trained Multi-Modal Transformers across SAR and Multispectral Modalities
by: Tanaka, Tomohiro, et al.
Published: (2025)

PyroFocus: A Deep Learning Approach to Real-Time Wildfire Detection in Multispectral Remote Sensing Imagery
by: Moussa, Mark, et al.
Published: (2025)

PUDD: Towards Robust Multi-modal Prototype-based Deepfake Detection
by: Pellcier, Alvaro Lopez, et al.
Published: (2024)

Self-Supervised Representation Learning for Adversarial Attack Detection
by: Li, Yi, et al.
Published: (2024)

Bayesian Modeling of Zero-Shot Classifications for Urban Flood Detection
by: Franchi, Matt, et al.
Published: (2025)

A Parameter-efficient Convolutional Approach for Weed Detection in Multispectral Aerial Imagery
by: Ramos, Leo Thomas, et al.
Published: (2026)

Improving EO Foundation Models with Confidence Assessment for enhanced Semantic segmentation
by: Dionelis, Nikolaos, et al.
Published: (2024)

COMIX: Compositional Explanations using Prototypes
by: Sivaprasad, Sarath, et al.
Published: (2025)

Ensuring Medical AI Safety: Interpretability-Driven Detection and Mitigation of Spurious Model Behavior and Associated Data
by: Pahde, Frederik, et al.
Published: (2025)

When are Foundation Models Effective? Understanding the Suitability for Pixel-Level Classification Using Multispectral Imagery
by: Xie, Yiqun, et al.
Published: (2024)

An Interpretable Representation Learning Approach for Diffusion Tensor Imaging
by: Singh, Vishwa Mohan, et al.
Published: (2025)

Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI
by: Zaigrajew, Vladimir, et al.
Published: (2024)

Herd Mentality in Augmentation -- Not a Good Idea! A Robust Multi-stage Approach towards Deepfake Detection
by: Monu, et al.
Published: (2024)

Missing Data as Augmentation in the Earth Observation Domain: A Multi-View Learning Approach
by: Mena, Francisco, et al.
Published: (2025)

Drone-Based Multispectral Imaging and Deep Learning for Timely Detection of Branched Broomrape in Tomato Farms
by: Narimani, Mohammadreza, et al.
Published: (2025)

Fast-SEnSeI: Lightweight Sensor-Independent Cloud Masking for On-board Multispectral Sensors
by: Kněžík, Jan, et al.
Published: (2025)

CARE: Confidence-Aware Regression Estimation of building density fine-tuning EO Foundation Models
by: Dionelis, Nikolaos, et al.
Published: (2025)

Approach to Designing CV Systems for Medical Applications: Data, Architecture and AI
by: Ryabtsev, Dmitry, et al.
Published: (2025)

Paradigm selection for Data Fusion of SAR and Multispectral Sentinel data applied to Land-Cover Classification
by: Sebastianelli, Alessandro, et al.
Published: (2021)

DEPFusion: Dual-Domain Enhancement and Priority-Guided Mamba Fusion for UAV Multispectral Object Detection
by: Li, Shucong, et al.
Published: (2025)

An Enhanced Classification Method Based on Adaptive Multi-Scale Fusion for Long-tailed Multispectral Point Clouds
by: Liu, TianZhu, et al.
Published: (2024)

Deep Vision-Based Framework for Coastal Flood Prediction Under Climate Change Impacts and Shoreline Adaptations
by: Karapetyan, Areg, et al.
Published: (2024)

A Deep U-Net Framework for Flood Hazard Mapping Using Hydraulic Simulations of the Wupper Catchment
by: Lammers, Christian, et al.
Published: (2026)

Detecting Out-Of-Distribution Earth Observation Images with Diffusion Models
by: Bellier, Georges Le, et al.
Published: (2024)

MSCrackMamba: Leveraging Vision Mamba for Crack Detection in Fused Multispectral Imagery
by: Zhu, Qinfeng, et al.
Published: (2024)

SpecSwin3D: Generating Hyperspectral Imagery from Multispectral Data via Transformer Networks
by: Sui, Tang, et al.
Published: (2025)

Improving Urban Flood Prediction using LSTM-DeepLabv3+ and Bayesian Optimization with Spatiotemporal feature fusion
by: Situ, Zuxiang, et al.
Published: (2023)

Multi-encoder ConvNeXt Network with Smooth Attentional Feature Fusion for Multispectral Semantic Segmentation
by: Ramos, Leo Thomas, et al.
Published: (2026)

Energy Correction Model in the Feature Space for Out-of-Distribution Detection
by: Lafon, Marc, et al.
Published: (2024)

Deep learning for precipitation nowcasting: A survey from the perspective of time series forecasting
by: An, Sojung, et al.
Published: (2024)

Interpretable Unsupervised Deformable Image Registration via Confidence-bound Multi-Hop Visual Reasoning
by: Iqbal, Zafar, et al.
Published: (2026)

An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity
by: Du, Siqi, et al.
Published: (2025)

Enhancing Multi-task Learning Capability of Medical Generalist Foundation Model via Image-centric Multi-annotation Data
by: Zhu, Xun, et al.
Published: (2025)

TY-RIST: Tactical YOLO Tricks for Real-time Infrared Small Target Detection
by: Atrash, Abdulkarim, et al.
Published: (2025)