Copertina

FMARS: Annotating Remote Sensing Images for Disaster Management using Foundation Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Arnaudo, Edoardo, Vaschetti, Jacopo Lungo, Innocenti, Lorenzo, Barco, Luca, Lisi, Davide, Fissore, Vanina, Rossi, Claudio
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Maximum Temperature Prediction Using Remote Sensing Data Via Convolutional Neural Network
di: Innocenti, Lorenzo, et al.
Pubblicazione: (2024)

Rapid Wildfire Hotspot Detection Using Self-Supervised Learning on Temporal Remote Sensing Data
di: Barco, Luca, et al.
Pubblicazione: (2024)

Urban Air Pollution Forecasting: a Machine Learning Approach leveraging Satellite Observations and Meteorological Forecasts
di: Blanco, Giacomo, et al.
Pubblicazione: (2024)

Survey on Disaster Management Datasets for Remote Sensing Based Emergency Applications
di: Ndigande, Alain P., et al.
Pubblicazione: (2026)

RescueADI: Adaptive Disaster Interpretation in Remote Sensing Images with Autonomous Agents
di: Liu, Zhuoran, et al.
Pubblicazione: (2024)

Annotation-Free Open-Vocabulary Segmentation for Remote-Sensing Images
di: Li, Kaiyu, et al.
Pubblicazione: (2025)

Large-scale Remote Sensing Image Target Recognition and Automatic Annotation
di: Dong, Wuzheng
Pubblicazione: (2024)

LRSAA: Large-scale Remote Sensing Image Target Recognition and Automatic Annotation
di: Dong, Wuzheng, et al.
Pubblicazione: (2024)

RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models
di: Chen, Keyan, et al.
Pubblicazione: (2025)

DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response
di: Wang, Junjue, et al.
Pubblicazione: (2025)

Active-SAOOD: Active Sparsely Annotated Oriented Object Detection in Remote Sensing Images
di: Lin, Yu, et al.
Pubblicazione: (2026)

A Billion-scale Foundation Model for Remote Sensing Images
di: Cha, Keumgang, et al.
Pubblicazione: (2023)

Multi-Spectral Remote Sensing Image Retrieval Using Geospatial Foundation Models
di: Blumenstiel, Benedikt, et al.
Pubblicazione: (2024)

Adapting Vision Foundation Models for Robust Cloud Segmentation in Remote Sensing Images
di: Zou, Xuechao, et al.
Pubblicazione: (2024)

RemoteCLIP: A Vision Language Foundation Model for Remote Sensing
di: Liu, Fan, et al.
Pubblicazione: (2023)

RSRefSeg 2: Decoupling Referring Remote Sensing Image Segmentation with Foundation Models
di: Chen, Keyan, et al.
Pubblicazione: (2025)

Exploring Foundation Models in Remote Sensing Image Change Detection: A Comprehensive Survey
di: Yu, Zihan, et al.
Pubblicazione: (2024)

Sentinel2Cap: A Human-Annotated Benchmark Dataset for Multimodal Remote Sensing Image Captioning
di: Tosato, Lucrezia, et al.
Pubblicazione: (2026)

Annotation Cost-Efficient Active Learning for Deep Metric Learning Driven Remote Sensing Image Retrieval
di: Hoxha, Genc, et al.
Pubblicazione: (2024)

RSCC: A Large-Scale Remote Sensing Change Caption Dataset for Disaster Events
di: Chen, Zhenyuan, et al.
Pubblicazione: (2025)

SpectralGPT: Spectral Remote Sensing Foundation Model
di: Hong, Danfeng, et al.
Pubblicazione: (2023)

Task-Guided Multi-Annotation Triplet Learning for Remote Sensing Representations
di: Zhou, Meilun, et al.
Pubblicazione: (2026)

Performance of Human Annotators in Object Detection and Segmentation of Remotely Sensed Data
di: Blushtein-Livnon, Roni, et al.
Pubblicazione: (2024)

RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model
di: Wang, Mingze, et al.
Pubblicazione: (2024)

A General Purpose Spectral Foundational Model for Both Proximal and Remote Sensing Spectral Imaging
di: Laprade, William Michael, et al.
Pubblicazione: (2025)

MetaEarth: A Generative Foundation Model for Global-Scale Remote Sensing Image Generation
di: Yu, Zhiping, et al.
Pubblicazione: (2024)

AIO2: Online Correction of Object Labels for Deep Learning with Incomplete Annotation in Remote Sensing Image Segmentation
di: Liu, Chenying, et al.
Pubblicazione: (2024)

Joint Spatio-Temporal Modeling for the Semantic Change Detection in Remote Sensing Images
di: Ding, Lei, et al.
Pubblicazione: (2022)

Adapting Segment Anything Model for Change Detection in HR Remote Sensing Images
di: Ding, Lei, et al.
Pubblicazione: (2023)

Vision Foundation Models in Remote Sensing: A Survey
di: Lu, Siqi, et al.
Pubblicazione: (2024)

LSKNet: A Foundation Lightweight Backbone for Remote Sensing
di: Li, Yuxuan, et al.
Pubblicazione: (2024)

Foundation Models for Remote Sensing and Earth Observation: A Survey
di: Xiao, Aoran, et al.
Pubblicazione: (2024)

Foundation Models for Remote Sensing: An Analysis of MLLMs for Object Localization
di: Hannan, Darryl, et al.
Pubblicazione: (2025)

Agentic AI in Remote Sensing: Foundations, Taxonomy, and Emerging Systems
di: Talemi, Niloufar Alipour, et al.
Pubblicazione: (2026)

FUSAR-KLIP: Towards Multimodal Foundation Models for Remote Sensing
di: Yang, Yi, et al.
Pubblicazione: (2025)

FlexiMo: A Flexible Remote Sensing Foundation Model
di: Li, Xuyang, et al.
Pubblicazione: (2025)

Composed Image Retrieval for Remote Sensing
di: Psomas, Bill, et al.
Pubblicazione: (2024)

LLM-Assisted Semantic Guidance for Sparsely Annotated Remote Sensing Object Detection
di: Liao, Wei, et al.
Pubblicazione: (2025)

Pushing the Limits of Vision-Language Models in Remote Sensing without Human Annotations
di: Cha, Keumgang, et al.
Pubblicazione: (2024)

SAM2-ELNet: Label Enhancement and Automatic Annotation for Remote Sensing Segmentation
di: Yang, Jianhao, et al.
Pubblicazione: (2025)