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Land Cover Classification

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Showing 101–125 of 151 papers

TitleStatusHype
LandCoverNet: A global benchmark land cover classification training datasetCode0
Land Cover Semantic Segmentation Using ResUNet—0
Deep Neural Networks for automatic extraction of features in time series satellite images—0
Land Use and Land Cover Classification using a Human Group based Particle Swarm Optimization Algorithm with a LSTM classifier on hybrid-pre-processing Remote Sensing Images—0
Land Cover Classification from Remote Sensing Images Based on Multi-Scale Fully Convolutional NetworkCode1
A Novel Spatial-Spectral Framework for the Classification of Hyperspectral Satellite Imagery—0
Representative-Discriminative Learning for Open-set Land Cover Classification of Satellite ImageryCode1
The color out of space: learning self-supervised representations for Earth Observation imageryCode1
Integrating global spatial features in CNN based Hyperspectral/SAR imagery classification—0
CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local RefinementCode1
Meta-Learning for Few-Shot Land Cover Classification—0
A Biologically Interpretable Two-stage Deep Neural Network (BIT-DNN) For Vegetation Recognition From Hyperspectral Imagery—0
RSVQA: Visual Question Answering for Remote Sensing Data—0
Dense Dilated Convolutions Merging Network for Land Cover ClassificationCode1
Segmentation of Satellite Imagery using U-Net Models for Land Cover Classification—0
Cloud Removal in Satellite Images Using Spatiotemporal Generative NetworksCode1
Land Cover Change Detection via Semantic Segmentation—0
Dense Fusion Classmate Network for Land Cover Classification—0
Adjusting Rate of Spread Factors through Derivative-Free Optimization: A New Methodology to Improve the Performance of Forest Fire Simulators—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
Satellite-Net: Automatic Extraction of Land Cover Indicators from Satellite Imagery by Deep Learning—0
Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution ImagesCode0
Land Use and Land Cover Classification Using Deep Learning Techniques—0
Using Conditional Generative Adversarial Networks to Generate Ground-Level Views From Overhead Imagery—0
Predicting Food Security Outcomes Using Convolutional Neural Networks (CNNs) for Satellite Tasking—0
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