:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhao, Yu, Gerard, Sebastian, Ban, Yifang
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2412.11555
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Continuous Urban Change Detection from Satellite Image Time Series with Temporal Feature Refinement and Multi-Task Integration
by: Hafner, Sebastian, et al.
Published: (2024)

Wildfire Detection Using Vision Transformer with the Wildfire Dataset
by: Vuppari, Gowtham Raj, et al.
Published: (2025)

FireSentry: A Multi-Modal Spatio-temporal Benchmark Dataset for Fine-Grained Wildfire Spread Forecasting
by: Zhou, Nan, et al.
Published: (2025)

Deep Learning Based Wildfire Detection for Peatland Fires Using Transfer Learning
by: Hamdan, Emadeldeen, et al.
Published: (2026)

SatSwinMAE: Efficient Autoencoding for Multiscale Time-series Satellite Imagery
by: Nakayama, Yohei, et al.
Published: (2024)

WildFireCan-MMD: A Multimodal Dataset for Classification of User-Generated Content During Wildfires in Canada
by: Sherritt, Braeden, et al.
Published: (2025)

Generating Satellite Imagery Data for Wildfire Detection through Mask-Conditioned Generative AI
by: Martin, Valeria, et al.
Published: (2026)

TriTS: Time Series Forecasting from a Multimodal Perspective
by: Ao, Xiang
Published: (2026)

CaTS-Bench: Can Language Models Describe Time Series?
by: Zhou, Luca, et al.
Published: (2025)

Sat3DGen: Comprehensive Street-Level 3D Scene Generation from Single Satellite Image
by: Qian, Ming, et al.
Published: (2026)

Paving the way toward foundation models for irregular and unaligned Satellite Image Time Series
by: Dumeur, Iris, et al.
Published: (2024)

Sat2Flow: A Structure-Aware Diffusion Framework for Human Flow Generation from Satellite Imagery
by: Wang, Xiangxu, et al.
Published: (2025)

TS-P$^2$CL: Plug-and-Play Dual Contrastive Learning for Vision-Guided Medical Time Series Classification
by: Xu, Qi'ao, et al.
Published: (2025)

DiffusionSat: A Generative Foundation Model for Satellite Imagery
by: Khanna, Samar, et al.
Published: (2023)

TAMMs: Change Understanding and Forecasting in Satellite Image Time Series with Temporal-Aware Multimodal Models
by: Guo, Zhongbin, et al.
Published: (2025)

SatBLIP: Context Understanding and Feature Identification from Satellite Imagery with Vision-Language Learning
by: Wu, Xue, et al.
Published: (2026)

Low-Rank Adaptation of Geospatial Foundation Models for Wildfire Mapping Using Sentinel-2 Data
by: Shibli, Ali, et al.
Published: (2026)

PIPE: Physics-Informed Position Encoding for Alignment of Satellite Images and Time Series
by: Li, Haobo, et al.
Published: (2025)

FireCastNet: Earth-as-a-Graph for Seasonal Fire Prediction
by: Michail, Dimitrios, et al.
Published: (2025)

SatMap: Revisiting Satellite Maps as Prior for Online HD Map Construction
by: Mazumder, Kanak, et al.
Published: (2026)

AdapTS: Lightweight Teacher-Student Approach for Multi-Class and Continual Visual Anomaly Detection
by: Barusco, Manuel, et al.
Published: (2026)

Streamlining Forest Wildfire Surveillance: AI-Enhanced UAVs Utilizing the FLAME Aerial Video Dataset for Lightweight and Efficient Monitoring
by: Zhao, Lemeng, et al.
Published: (2024)

VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters
by: Chen, Mouxiang, et al.
Published: (2024)

FLAME 3 Dataset: Unleashing the Power of Radiometric Thermal UAV Imagery for Wildfire Management
by: Hopkins, Bryce, et al.
Published: (2024)

Real-Time Compressed Sensing for Joint Hyperspectral Image Transmission and Restoration for CubeSat
by: Hsu, Chih-Chung, et al.
Published: (2024)

Hardware Acceleration for Real-Time Wildfire Detection Onboard Drone Networks
by: Briley, Austin, et al.
Published: (2024)

Generative AI for Enhanced Wildfire Detection: Bridging the Synthetic-Real Domain Gap
by: Gaba, Satyam
Published: (2025)

RADARSAT Constellation Mission Compact Polarisation SAR Data for Burned Area Mapping with Deep Learning
by: Zhao, Yu, et al.
Published: (2024)

ViFusionTST: Deep Fusion of Time-Series Image Representations from Load Signals for Early Bed-Exit Prediction
by: Liu, Hao, et al.
Published: (2025)

VME: A Satellite Imagery Dataset and Benchmark for Detecting Vehicles in the Middle East and Beyond
by: Al-Emadi, Noora, et al.
Published: (2025)

MLLM4TS: Leveraging Vision and Multimodal Language Models for General Time-Series Analysis
by: Liu, Qinghua, et al.
Published: (2025)

SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery
by: Klemmer, Konstantin, et al.
Published: (2023)

Near--Real-Time Conflict-Related Fire Detection in Sudan Using Unsupervised Deep Learning
by: Atwal, Kuldip Singh, et al.
Published: (2025)

Uncertainty-Aware Wildfire Smoke Density Classification from Satellite Imagery via CBAM-Augmented EfficientNet with Evidential Deep Learning
by: Chodavarapu, Ranjith
Published: (2026)

SITS-DECO: A Generative Decoder Is All You Need For Multitask Satellite Image Time Series Modelling
by: Barrett, Samuel J., et al.
Published: (2025)

Curriculum Multi-Task Self-Supervision Improves Lightweight Architectures for Onboard Satellite Hyperspectral Image Segmentation
by: Carlesso, Hugo, et al.
Published: (2025)

Collaborative Space Object Detection with Multi-Satellite Viewpoints in LEO Constellations
by: Qu, Xingyu, et al.
Published: (2026)

Panoptic Perception: A Novel Task and Fine-grained Dataset for Universal Remote Sensing Image Interpretation
by: Zhao, Danpei, et al.
Published: (2024)

GPTSee: Enhancing Moment Retrieval and Highlight Detection via Description-Based Similarity Features
by: Sun, Yunzhuo, et al.
Published: (2024)

Integrating Traditional and Deep Learning Methods to Detect Tree Crowns in Satellite Images
by: Durgut, Ozan, et al.
Published: (2025)