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Land Cover Classification

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Showing 51–100 of 151 papers

TitleStatusHype
Large-scale Land Cover Classification in GaoFen-2 Satellite Imagery—0
Large Scale Masked Autoencoding for Reducing Label Requirements on SAR Data—0
Land-Cover Classification with High-Resolution Remote Sensing Images Using Transferable Deep Models—0
LMFNet: An Efficient Multimodal Fusion Approach for Semantic Segmentation in High-Resolution Remote Sensing—0
Long-Range Correlation Supervision for Land-Cover Classification from Remote Sensing Images—0
Machine learning based hyperspectral image analysis: A survey—0
Mapping Cropland Abandonment in Mountainous Areas in China Using the Google Earth Engine Platform—0
Meta-Learning for Few-Shot Land Cover Classification—0
MKANet: A Lightweight Network with Sobel Boundary Loss for Efficient Land-cover Classification of Satellite Remote Sensing Imagery—0
Multi-frequency PolSAR Image Fusion Classification Based on Semantic Interactive Information and Topological Structure—0
What Is It Like Down There? Generating Dense Ground-Level Views and Image Features From Overhead Imagery Using Conditional Generative Adversarial Networks—0
A Biologically Interpretable Two-stage Deep Neural Network (BIT-DNN) For Vegetation Recognition From Hyperspectral Imagery—0
A CNN based method for Sub-pixel Urban Land Cover Classification using Landsat-5 TM and Resourcesat-1 LISS-IV Imagery—0
Adjusting Rate of Spread Factors through Derivative-Free Optimization: A New Methodology to Improve the Performance of Forest Fire Simulators—0
A generic self-supervised learning (SSL) framework for representation learning from spectra-spatial feature of unlabeled remote sensing imagery—0
An automatic water detection approach based on Dempster-Shafer theory for multi spectral images—0
An N-dimensional approach towards object based classification of remotely sensed imagery—0
A Novel Spatial-Spectral Framework for the Classification of Hyperspectral Satellite Imagery—0
Baltimore Atlas: FreqWeaver Adapter for Semi-supervised Ultra-high Spatial Resolution Land Cover Classification—0
Beyond Grid Data: Exploring Graph Neural Networks for Earth Observation—0
Beyond Pretty Pictures: Combined Single- and Multi-Image Super-resolution for Sentinel-2 Images—0
Channel-Based Attention for LCC Using Sentinel-2 Time Series—0
Classification and mapping of low-statured 'shrubland' cover types in post-agricultural landscapes of the US Northeast—0
Combining Sentinel-1 and Sentinel-2 Time Series via RNN for object-based land cover classification—0
Confidence-Guided Semi-supervised Learning in Land Cover Classification—0
CoSpace: Common Subspace Learning from Hyperspectral-Multispectral Correspondences—0
Towards Explainable Land Cover Mapping: a Counterfactual-based Strategy—0
Deep Convolutional Neural Networks for Map-Type Classification—0
Deep Neural Networks for automatic extraction of features in time series satellite images—0
Deep Self-taught Learning for Remote Sensing Image Classification—0
Dense Fusion Classmate Network for Land Cover Classification—0
Dense semantic labeling of sub-decimeter resolution images with convolutional neural networks—0
Dimensionality Reduction via Regression in Hyperspectral Imagery—0
Domain-Adversarial Training of Self-Attention Based Networks for Land Cover Classification using Multi-temporal Sentinel-2 Satellite Imagery—0
DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn—0
Early- and in-season crop type mapping without current-year ground truth: generating labels from historical information via a topology-based approach—0
Eelgrass beds and oyster farming at a lagoon before and after the Great East Japan Earthquake 2011: potential to apply deep learning at a coastal area—0
Effectivity of super resolution convolutional neural network for the enhancement of land cover classification from medium resolution satellite images—0
EuroCrops: A Pan-European Dataset for Time Series Crop Type Classification—0
Evaluating and Benchmarking Foundation Models for Earth Observation and Geospatial AI—0
Evaluation of Deep Learning Semantic Segmentation for Land Cover Mapping on Multispectral, Hyperspectral and High Spatial Aerial Imagery—0
FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients—0
FlexiMo: A Flexible Remote Sensing Foundation Model—0
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing—0
Generalizable Multispectral Land Cover Classification via Frequency-Aware Mixture of Low-Rank Token Experts—0
Generating a Training Dataset for Land Cover Classification to Advance Global Development—0
Global High Categorical Resolution Land Cover Mapping via Weak Supervision—0
Predicting Food Security Outcomes Using Convolutional Neural Networks (CNNs) for Satellite Tasking—0
CtxMIM: Context-Enhanced Masked Image Modeling for Remote Sensing Image Understanding—0
Randomized kernels for large scale Earth observation applications—0
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