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Land Cover Classification

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Showing 1–50 of 151 papers

TitleStatusHype
Baltimore Atlas: FreqWeaver Adapter for Semi-supervised Ultra-high Spatial Resolution Land Cover Classification—0
Beyond Pretty Pictures: Combined Single- and Multi-Image Super-resolution for Sentinel-2 Images—0
HyperPointFormer: Multimodal Fusion in 3D Space with Dual-Branch Cross-Attention TransformersCode0
Supervised and self-supervised land-cover segmentation & classification of the Biesbosch wetlands—0
Generalizable Multispectral Land Cover Classification via Frequency-Aware Mixture of Low-Rank Token Experts—0
HyperspectralMAE: The Hyperspectral Imagery Classification Model using Fourier-Encoded Dual-Branch Masked Autoencoder—0
Prototype-Based Information Compensation Network for Multi-Source Remote Sensing Data ClassificationCode0
Core-Set Selection for Data-efficient Land Cover SegmentationCode0
PAD: Phase-Amplitude Decoupling Fusion for Multi-Modal Land Cover ClassificationCode0
Geographical Context Matters: Bridging Fine and Coarse Spatial Information to Enhance Continental Land Cover MappingCode0
SAR-to-RGB Translation with Latent Diffusion for Earth Observation—0
FlexiMo: A Flexible Remote Sensing Foundation Model—0
A Survey on Remote Sensing Foundation Models: From Vision to MultimodalityCode2
Uncertainty-aware Bayesian machine learning modelling of land cover classification—0
CerraData-4MM: A multimodal benchmark dataset on Cerrado for land use and land cover classificationCode0
ASANet: Asymmetric Semantic Aligning Network for RGB and SAR image land cover classificationCode0
Pattern Integration and Enhancement Vision Transformer for Self-Supervised Learning in Remote Sensing—0
Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation—0
SFA-Net: Semantic Feature Adjustment Network for Remote Sensing Image SegmentationCode1
DDU-Net: A Domain Decomposition-Based CNN for High-Resolution Image Segmentation on Multiple GPUsCode0
Evaluating and Benchmarking Foundation Models for Earth Observation and Geospatial AI—0
Improving EO Foundation Models with Confidence Assessment for enhanced Semantic segmentationCode0
Evaluation of Deep Learning Semantic Segmentation for Land Cover Mapping on Multispectral, Hyperspectral and High Spatial Aerial Imagery—0
AGBD: A Global-scale Biomass DatasetCode1
Global High Categorical Resolution Land Cover Mapping via Weak Supervision—0
LMFNet: An Efficient Multimodal Fusion Approach for Semantic Segmentation in High-Resolution Remote Sensing—0
OmniSat: Self-Supervised Modality Fusion for Earth ObservationCode2
S2RC-GCN: A Spatial-Spectral Reliable Contrastive Graph Convolutional Network for Complex Land Cover Classification Using Hyperspectral Images—0
Heterogeneous Network Based Contrastive Learning Method for PolSAR Land Cover ClassificationCode0
Impacts of Color and Texture Distortions on Earth Observation Data in Deep Learning—0
A citizen science toolkit to collect human perceptions of urban environments using open street view imagesCode1
Cross-Resolution Land Cover Classification Using Outdated Products and TransformersCode0
ViGEO: an Assessment of Vision GNNs in Earth ObservationCode0
Image Fusion in Remote Sensing: An Overview and Meta Analysis—0
SwiMDiff: Scene-wide Matching Contrastive Learning with Diffusion Constraint for Remote Sensing Image—0
PhilEO Bench: Evaluating Geo-Spatial Foundation ModelsCode2
Multimodal Informative ViT: Information Aggregation and Distribution for Hyperspectral and LiDAR ClassificationCode1
Modernized Training of U-Net for Aerial Semantic SegmentationCode0
On the Promises and Challenges of Multimodal Foundation Models for Geographical, Environmental, Agricultural, and Urban Planning Applications—0
Land use/land cover classification of fused Sentinel-1 and Sentinel-2 imageries using ensembles of Random Forests—0
PanBench: Towards High-Resolution and High-Performance Pansharpening—0
Submeter-level Land Cover Mapping of Japan—0
FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients—0
MineSegSAT: An automated system to evaluate mining disturbed area extents from Sentinel-2 imageryCode0
FLAIR: a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical ImageryCode1
Large Scale Masked Autoencoding for Reducing Label Requirements on SAR Data—0
CtxMIM: Context-Enhanced Masked Image Modeling for Remote Sensing Image Understanding—0
Robust Burned Area Delineation through Multitask LearningCode1
Long-Range Correlation Supervision for Land-Cover Classification from Remote Sensing Images—0
Deep learning-based interactive segmentation in remote sensingCode0
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