Imbalanced Learning in Land Cover Classification: Improving Minority Classes’ Prediction Accuracy Using the Geometric SMOTE Algorithm

Geometric SMOTE a geometrically enhanced drop-in replacement for SMOTE

(2019) Georgios Douzas et al.   INFORMATION SCIENCES

Modeling Land Seismic Exploration Random Noise in a Weakly Heterogeneous Medium and the Application to the Training Set

(2019) Qiankun Feng et al.   IEEE Geoscience and Remote Sensing Letters

Dynamic ensemble selection for multi-class imbalanced datasets

(2018) Salvador García et al.   INFORMATION SCIENCES

Implementation of machine-learning classification in remote sensing: an applied review

(2018) Aaron E. Maxwell et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Classification of rare land cover types: Distinguishing annual and perennial crops in an agricultural catchment in South Korea

(2018) Christina Bogner et al.   PLoS One

Mapping pan-European land cover using Landsat spectral-temporal metrics and the European LUCAS survey

(2018) Dirk Pflugmacher et al.   REMOTE SENSING OF ENVIRONMENT

Self-Organizing Map Oversampling (SOMO) for imbalanced data set learning

(2017) Georgios Douzas et al.   EXPERT SYSTEMS WITH APPLICATIONS

To Combat Multi-Class Imbalanced Problems by Means of Over-Sampling Techniques

(2016) Lida Abdi et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Analyzing the oversampling of different classes and types of examples in multi-class imbalanced datasets

(2016) José A. Sáez et al.   PATTERN RECOGNITION

Improved Urban Scene Classification Using Full-Waveform Lidar

(2016) M. Azadbakht et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

A meta-analysis of remote sensing research on supervised pixel-based land-cover image classification processes: General guidelines for practitioners and future research

(2016) Reza Khatami et al.   REMOTE SENSING OF ENVIRONMENT

A semi-automated approach for the generation of a new land use and land cover product for Germany based on Landsat time-series and Lucas in-situ data

(2016) Benjamin Mack et al.   Remote Sensing Letters

Exploring issues of training data imbalance and mislabelling on random forest performance for large area land cover classification using the ensemble margin

(2015) Andrew Mellor et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A critical synthesis of remotely sensed optical image change detection techniques

(2015) Andrew P. Tewkesbury et al.   REMOTE SENSING OF ENVIRONMENT

Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches

(2013) Alberto Fernández et al.   KNOWLEDGE-BASED SYSTEMS

Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation

(2012) Pontus Olofsson et al.   REMOTE SENSING OF ENVIRONMENT

SMOTE-RSB *: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory

(2011) Enislay Ramentol et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

An Active Learning Approach to Hyperspectral Data Classification

(2008) S. Rajan et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING