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Land Cover Classification

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Showing 51–100 of 151 papers

TitleStatusHype
CerraData-4MM: A multimodal benchmark dataset on Cerrado for land use and land cover classificationCode0
Deep learning-based interactive segmentation in remote sensingCode0
DDU-Net: A Domain Decomposition-Based CNN for High-Resolution Image Segmentation on Multiple GPUsCode0
LandCoverNet: A global benchmark land cover classification training datasetCode0
Spatial machine-learning model diagnostics: a model-agnostic distance-based approachCode0
ASANet: Asymmetric Semantic Aligning Network for RGB and SAR image land cover classificationCode0
Subspace-Based Feature Fusion From Hyperspectral And Multispectral Image For Land Cover ClassificationCode0
Core-Set Selection for Data-efficient Land Cover SegmentationCode0
AutoLC: Search Lightweight and Top-Performing Architecture for Remote Sensing Image Land-Cover ClassificationCode0
ViGEO: an Assessment of Vision GNNs in Earth ObservationCode0
MineSegSAT: An automated system to evaluate mining disturbed area extents from Sentinel-2 imageryCode0
On the semantics of big Earth observation data for land classification—0
PanBench: Towards High-Resolution and High-Performance Pansharpening—0
Pattern Integration and Enhancement Vision Transformer for Self-Supervised Learning in Remote Sensing—0
PatternNet: A Benchmark Dataset for Performance Evaluation of Remote Sensing Image Retrieval—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
Recurrent Multiresolution Convolutional Networks for VHR Image Classification—0
RSBNet: One-Shot Neural Architecture Search for A Backbone Network in Remote Sensing Image Recognition—0
RSVQA: Visual Question Answering for Remote Sensing Data—0
S2RC-GCN: A Spatial-Spectral Reliable Contrastive Graph Convolutional Network for Complex Land Cover Classification Using Hyperspectral Images—0
SAR-to-RGB Translation with Latent Diffusion for Earth Observation—0
Satellite-Net: Automatic Extraction of Land Cover Indicators from Satellite Imagery by Deep Learning—0
Segmentation of Satellite Imagery using U-Net Models for Land Cover Classification—0
Self-Supervised In-Domain Representation Learning for Remote Sensing Image Scene Classification—0
Semi-supervised learning for joint SAR and multispectral land cover classification—0
Semantic Segmentation of Medium-Resolution Satellite Imagery using Conditional Generative Adversarial Networks—0
Stage 4 validation of the Satellite Image Automatic Mapper lightweight computer program for Earth observation Level 2 product generation, Part 1 Theory—0
Stage 4 validation of the Satellite Image Automatic Mapper lightweight computer program for Earth observation Level 2 product generation, Part 2 Validation—0
Submeter-level Land Cover Mapping of Japan—0
Supervised and self-supervised land-cover segmentation & classification of the Biesbosch wetlands—0
SwiMDiff: Scene-wide Matching Contrastive Learning with Diffusion Constraint for Remote Sensing Image—0
Integrating global spatial features in CNN based Hyperspectral/SAR imagery classification—0
Towards DeepSentinel: An extensible corpus of labelled Sentinel-1 and -2 imagery and a general-purpose sensor-fusion semantic embedding model—0
Uncertainty-aware Bayesian machine learning modelling of land cover classification—0
Unsupervised Deep Feature Extraction for Remote Sensing Image Classification—0
Urban Land Cover Classification with Missing Data Modalities Using Deep Convolutional Neural Networks—0
Using Conditional Generative Adversarial Networks to Generate Ground-Level Views From Overhead Imagery—0
What Is It Like Down There? Generating Dense Ground-Level Views and Image Features From Overhead Imagery Using Conditional Generative Adversarial Networks—0
Multi-frequency PolSAR Image Fusion Classification Based on Semantic Interactive Information and Topological Structure—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
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