Image de couverture de livre

Estimate the building height at a 10-meter resolution based on Sentinel data

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Yan, Xin
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Enhancing Active Learning for Sentinel 2 Imagery through Contrastive Learning and Uncertainty Estimation
par: Pogorzelski, David, et autres
Publié: (2024)

Leveraging Multi-Temporal Sentinel 1 and 2 Satellite Data for Leaf Area Index Estimation With Deep Learning
par: Wang, Clement, et autres
Publié: (2024)

Using Multi-Temporal Sentinel-1 and Sentinel-2 data for water bodies mapping
par: Russo, Luigi, et autres
Publié: (2024)

Monitoring water contaminants in coastal areas through ML algorithms leveraging atmospherically corrected Sentinel-2 data
par: Razzano, Francesca, et autres
Publié: (2024)

Bayesian Transformer for Pan-Arctic Sea Ice Concentration Mapping and Uncertainty Estimation using Sentinel-1, RCM, and AMSR2 Data
par: Heffring, Mabel, et autres
Publié: (2025)

Multi-Modal Landslide Detection from Sentinel-1 SAR and Sentinel-2 Optical Imagery Using Multi-Encoder Vision Transformers and Ensemble Learning
par: Nasios, Ioannis
Publié: (2026)

Multitask GLocal OBIA-Mamba for Sentinel-2 Landcover Mapping
par: Dewis, Zack, et autres
Publié: (2025)

CARE: Confidence-Aware Regression Estimation of building density fine-tuning EO Foundation Models
par: Dionelis, Nikolaos, et autres
Publié: (2025)

Biological Valuation Map of Flanders: A Sentinel-2 Imagery Analysis
par: Li, Mingshi, et autres
Publié: (2024)

Forest canopy height estimation from satellite RGB imagery using large-scale airborne LiDAR-derived training data and monocular depth estimation
par: Lai, Yongkang, et autres
Publié: (2026)

Mapping Land Naturalness from Sentinel-2 using Deep Contextual and Geographical Priors
par: Ekim, Burak, et autres
Publié: (2024)

Mapping of Weed Management Methods in Orchards using Sentinel-2 and PlanetScope Data
par: Kontogiorgakis, Ioannis, et autres
Publié: (2025)

Development and Application of a Sentinel-2 Satellite Imagery Dataset for Deep-Learning Driven Forest Wildfire Detection
par: Martin, Valeria, et autres
Publié: (2024)

Enhancing Generalization of Depth Estimation Foundation Model via Weakly-Supervised Adaptation with Regularization
par: Huang, Yan, et autres
Publié: (2025)

Global Offshore Wind Infrastructure: Deployment and Operational Dynamics from Dense Sentinel-1 Time Series
par: Hoeser, Thorsten, et autres
Publié: (2026)

Geographically-Weighted Weakly Supervised Bayesian High-Resolution Transformer for 200m Resolution Pan-Arctic Sea Ice Concentration Mapping and Uncertainty Estimation using Sentinel-1, RCM, and AMSR2 Data
par: Heffring, Mabel, et autres
Publié: (2026)

VibrantSR: Sub-Meter Canopy Height Models from Sentinel-2 Using Generative Flow Matching
par: Ndegwa, Kiarie, et autres
Publié: (2026)

High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach
par: Schwartz, Martin, et autres
Publié: (2022)

Machine learning-enabled velocity model building with uncertainty quantification
par: Orozco, Rafael, et autres
Publié: (2024)

How to build a consistency model: Learning flow maps via self-distillation
par: Boffi, Nicholas M., et autres
Publié: (2025)

The first global agricultural field boundary map at 10m resolution
par: Robinson, Caleb, et autres
Publié: (2026)

ConvTransSeg: A Multi-resolution Convolution-Transformer Network for Medical Image Segmentation
par: Gong, Zhendi, et autres
Publié: (2022)

Learning Multi-resolution Graph Edge Embedding for Discovering Brain Network Dysfunction in Neurological Disorders
par: Ma, Xin, et autres
Publié: (2019)

Monitoring of Urban Changes with multi-modal Sentinel 1 and 2 Data in Mariupol, Ukraine, in 2022/23
par: Zitzlsberger, Georg, et autres
Publié: (2023)

Super-Resolved Canopy Height Mapping from Sentinel-2 Time Series Using Airborne LiDAR HD Reference Data across Metropolitan France
par: Kalinicheva, Ekaterina, et autres
Publié: (2025)

PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification
par: Pohland, Sara, et autres
Publié: (2024)

Monitoring digestate application on agricultural crops using Sentinel-2 Satellite imagery
par: Kalogeras, Andreas, et autres
Publié: (2025)

Mitigating Bad Ground Truth in Supervised Machine Learning based Crop Classification: A Multi-Level Framework with Sentinel-2 Images
par: A, Sanayya, et autres
Publié: (2025)

How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
par: Gu, Hanxue, et autres
Publié: (2024)

Video Annotator: A framework for efficiently building video classifiers using vision-language models and active learning
par: Ziai, Amir, et autres
Publié: (2024)

Fine-grained Hierarchical Crop Type Classification from Integrated Hyperspectral EnMAP Data and Multispectral Sentinel-2 Time Series: A Large-scale Dataset and Dual-stream Transformer Method
par: Li, Wenyuan, et autres
Publié: (2025)

GraphAU-Pain: Graph-based Action Unit Representation for Pain Intensity Estimation
par: Wang, Zhiyu, et autres
Publié: (2025)

A Novel Convolution and Attention Mechanism-based Model for 6D Object Pose Estimation
par: Du, Alexander, et autres
Publié: (2024)

Best of Both Worlds: Hybrid SNN-ANN Architecture for Event-based Optical Flow Estimation
par: Negi, Shubham, et autres
Publié: (2023)

DeepDamageNet: A two-step deep-learning model for multi-disaster building damage segmentation and classification using satellite imagery
par: Alisjahbana, Irene, et autres
Publié: (2024)

Contrasting local and global modeling with machine learning and satellite data: A case study estimating tree canopy height in African savannas
par: Rolf, Esther, et autres
Publié: (2024)

Mind the Gap: Learning Modality-Agnostic Representations with a Cross-Modality UNet
par: Niu, Xin, et autres
Publié: (2026)

Learning without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labels
par: Li, Zhuohong, et autres
Publié: (2024)

Estimating Epistemic and Aleatoric Uncertainty with a Single Model
par: Chan, Matthew A., et autres
Publié: (2024)

k-NN as a Simple and Effective Estimator of Transferability
par: Sorkhei, Moein, et autres
Publié: (2025)