2017 IEEE GRSS Data Fusion Contest: Open Data for Global Multimodal Land Use Classification [Technical Committees]

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A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification

scholarly article by Devis Tuia et al published June 2011 in IEEE Journal on Selected Topics in Signal Processing

AIDE: Accelerating image‐based ecological surveys with interactive machine learning

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Active Learning Methods for Remote Sensing Image Classification

Active Learning for Monitoring Network Optimization

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Active Learning of Very-High Resolution Optical Imagery with SVM: Entropy vs Margin Sampling

Advanced active sampling for remote sensing image classification

Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods

Beyond the urban mask

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Classification of Very High Spatial Resolution Imagery Using Mathematical Morphology and Support Vector Machines

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Cluster-based active learning for compact image classification

Clustering and Hot Spot Detection in Socio-economic Spatio-temporal Data

Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response

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Correcting rural building annotations in OpenStreetMap using convolutional neural networks

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Correction to "Active Learning Methods for Remote Sensing Image Classification" [Jul 09 2218-2232]

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Dataset shift adaptation with active queries

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Decision Fusion for the Classification of Hyperspectral Data: Outcome of the 2008 GRS-S Data Fusion Contest

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Defining and spatially modelling cultural ecosystem services using crowdsourced data

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Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks ⬇️

scholarly article by Michele Volpi & Devis Tuia published February 2017 in IEEE Transactions on Geoscience and Remote Sensing

Detecting animals in African Savanna with UAVs and the crowds

scientific article published in 2017

Detection of Urban Socio-economic Patterns Using Clustering Techniques

Domain adaptation in remote sensing through cross-image synthesis with dictionaries

Domain separation for efficient adaptive active learning

Emergence of spatio-temporal patterns in forest-fire sequences

Enhanced change detection using nonlinear feature extraction

Environmental Monitoring Network Characterization and Clustering

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Foreword to the Special Issue on Urban Remote Sensing

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Identifying spatial clustering phenomena in forest-fire sequences

Improving active learning methods using spatial information

Indoor radon distribution in Switzerland: lognormality and Extreme Value Theory

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Kernel Manifold Alignment for Domain Adaptation ⬇️

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Learning Relevant Image Features With Multiple-Kernel Classification

Learning the relevant image features with multiple kernels

Learning wind fields with multiple kernels

Memory-Based Cluster Sampling for Remote Sensing Image Classification

Multi-sensor change detection based on nonlinear canonical correlations

Multiple Kernel Learning of Environmental Data. Case Study: Analysis and Mapping of Wind Fields

Multiscale analysis of geomorphological and geological features in high resolution digital elevation models using the wavelet transform

Open Data for Global Multimodal Land Use Classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest

scholarly article published May 2018

OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing

scientific article published in March 2021

Optimal Transport for Domain Adaptation

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Principal polynomial analysis. ⬇️

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Regional uniqueness of tree species composition and response to forest loss and climate change

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SVM Active Learning Approach for Image Classification Using Spatial Information

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SVM-Based Boosting of Active Learning Strategies for Efficient Domain Adaptation

Scan statistics analysis of forest fire clusters

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Semi-supervised multiview embedding for hyperspectral data classification

Semisupervised Transfer Component Analysis for Domain Adaptation in Remote Sensing Image Classification

Socio-economic Data Analysis with Scan Statistics and Self-organizing Maps

Statistical assessment of dataset shift and model portability in multi-angle in-track image acquisitions

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Structured Output SVM for Remote Sensing Image Classification

Structured output SVM for remote sensing image classification

Supervised change detection in VHR images using contextual information and support vector machines

Supervised change detection in VHR images: A comparative analysis

Support-Based Implementation of Bayesian Data Fusion for Spatial Enhancement: Applications to ASTER Thermal Images

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The 2017 IEEE Geoscience and Remote Sensing Society Data Fusion Contest: Open Data for Global Multimodal Land Use Classification [Technical Committees]

Transfer component analysis for domain adaptation in image classification

Unbiased query-by-bagging active learning for VHR image classification

Understanding angular effects in VHR imagery and their significance for urban land-cover model portability: A study of two multi-angle in-track image sequences

Understanding urban landuse from the above and ground perspectives: A deep learning, multimodal solution

scientific article published in July 2019

Unsupervised Change Detection With Kernels

Unsupervised change detection by kernel clustering

Unsupervised change detection in the feature space using kernels

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Using active learning to adapt remote sensing image classifiers

scientific article published in 2011

Very-High Resolution Image Classification using Morphological Operators and SVM

deSpeckNet: Generalizing Deep Learning-Based SAR Image Despeckling