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

A time series of annual land use and land cover maps of China from 1982 to 2013 generated using AVHRR GIMMS NDVI3g data

(2017) Yaqian He et al.   REMOTE SENSING OF ENVIRONMENT

Advanced Spectral Classifiers for Hyperspectral Images: A review

(2017) Pedram Ghamisi et al.   IEEE Geoscience and Remote Sensing Magazine

Random forest in remote sensing: A review of applications and future directions

(2016) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Predicting Palustrine Wetland Probability Using Random Forest Machine Learning and Digital Elevation Data-Derived Terrain Variables

(2016) Aaron E. Maxwell et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

An Assessment of Algorithmic Parameters Affecting Image Classification Accuracy by Random Forests

(2016) et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

The Sensitivity of Mapping Methods to Reference Data Quality: Training Supervised Image Classifications with Imperfect Reference Data

(2016) Giles Foody et al.   ISPRS International Journal of Geo-Information

Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art

(2016) Liangpei Zhang et al.   IEEE Geoscience and Remote Sensing Magazine

Assessing machine-learning algorithms and image- and lidar-derived variables for GEOBIA classification of mining and mine reclamation

(2015) A.E. Maxwell et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

The AmericaView classification methods accuracy comparison project: A rigorous approach for model selection

(2015) Rick L. Lawrence et al.   REMOTE SENSING OF ENVIRONMENT

Spectral–spatial classification of hyperspectral images using deep convolutional neural networks

(2015) Jun Yue et al.   Remote Sensing Letters

Feature Selection with theBorutaPackage

(2015) Miron B. Kursa et al.   Journal of Statistical Software

Modeling Percent Tree Canopy Cover

(2015) John W. Coulston et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Comparison of NAIP orthophotography and RapidEye satellite imagery for mapping of mining and mine reclamation

(2014) A.E. Maxwell et al.   GIScience & Remote Sensing

Deep Learning-Based Classification of Hyperspectral Data

(2014) Yushi Chen et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Meta-discoveries from a synthesis of satellite-based land-cover mapping research

(2014) Le Yu et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers

(2014) Elhadi Adam et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Combining RapidEye Satellite Imagery and Lidar for Mapping of Mining and Mine Reclamation

(2014) Aaron E. Maxwell et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

High-resolution landcover classification using Random Forest

(2014) Matthew M. Hayes et al.   Remote Sensing Letters

Comparison of Classification Algorithms and Training Sample Sizes in Urban Land Classification with Landsat Thematic Mapper Imagery

(2014) Congcong Li et al.   Remote Sensing

A framework for mapping tree species combining hyperspectral and LiDAR data: Role of selected classifiers and sensor across three spatial scales

(2013) Aniruddha Ghosh et al.   International Journal of Applied Earth Observation and Geoinformation

Classifying a high resolution image of an urban area using super-object information

(2013) Brian Johnson et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Mapping Selective Logging in Mixed Deciduous Forest

(2013) Christopher D. Lippitt et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Object-based Vegetation Mapping in the Kissimmee River Watershed Using HyMap Data and Machine Learning Techniques

(2013) Caiyun Zhang et al.   WETLANDS

Kernel-based extreme learning machine for remote-sensing image classification

(2013) Mahesh Pal et al.   Remote Sensing Letters

Simultaneous feature selection and SVM parameter determination in classification of hyperspectral imagery using Ant Colony Optimization

(2012) Farhad Samadzadegan et al.   CANADIAN JOURNAL OF REMOTE SENSING

An Evaluation of Bagging, Boosting, and Random Forests for Land-Cover Classification in Cape Cod, Massachusetts, USA

(2012) Bardan Ghimire et al.   GIScience & Remote Sensing

Evaluation of SVM, RVM and SMLR for Accurate Image Classification With Limited Ground Data

(2012) M. Pal et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Multi-scale object-based image analysis and feature selection of multi-sensor earth observation imagery using random forests

(2012) Dennis C. Duro et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

High-resolution urban land-cover classification using a competitive multi-scale object-based approach

(2012) Brian A. Johnson   Remote Sensing Letters

Support vector machines and object-based classification for obtaining land-use/cover cartography from Hyperion hyperspectral imagery

(2011) George P. Petropoulos et al.   COMPUTERS & GEOSCIENCES

Multioutput Support Vector Regression for Remote Sensing Biophysical Parameter Estimation

(2011) D. Tuia et al.   IEEE Geoscience and Remote Sensing Letters

A comparison of three feature selection methods for object-based classification of sub-decimeter resolution UltraCam-L imagery

(2011) A.S. Laliberte et al.   International Journal of Applied Earth Observation and Geoinformation

Applying support vector regression to water quality modelling by remote sensing data

(2011) Xili Wang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

An assessment of the effectiveness of a random forest classifier for land-cover classification

(2011) V.F. Rodriguez-Galiano et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Object-oriented mapping of landslides using Random Forests

(2011) André Stumpf et al.   REMOTE SENSING OF ENVIRONMENT

A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery

(2011) Dennis C. Duro et al.   REMOTE SENSING OF ENVIRONMENT

Class prediction for high-dimensional class-imbalanced data

(2010) Rok Blagus et al.   BMC BIOINFORMATICS

Quantifying Bufo boreas connectivity in Yellowstone National Park with landscape genetics

(2010) Melanie A. Murphy et al.   ECOLOGY

Feature Selection for Classification of Hyperspectral Data by SVM

(2010) Mahesh Pal et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Support vector machines in remote sensing: A review

(2010) Giorgos Mountrakis et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Relevance of airborne lidar and multispectral image data for urban scene classification using Random Forests

(2010) Li Guo et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Learning from Imbalanced Data

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

A kernel functions analysis for support vector machines for land cover classification

(2009) T. Kavzoglu et al.   International Journal of Applied Earth Observation and Geoinformation

Feature selection for hyperspectral data based on recursive support vector machines

(2009) Rui Zhang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Optimizing support vector machine learning for semi-arid vegetation mapping by using clustering analysis

(2009) Lihong Su   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Classifier ensembles for land cover mapping using multitemporal SAR imagery

(2009) Björn Waske et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Conditional Variable Importance for Random Forests

(2008) Carolin Strobl et al.   BMC BIOINFORMATICS

Ensemble of support vector machines for land cover classification

(2008) M. Pal   INTERNATIONAL JOURNAL OF REMOTE SENSING

Evaluation of Random Forest and Adaboost tree-based ensemble classification and spectral band selection for ecotope mapping using airborne hyperspectral imagery

(2008) Jonathan Cheung-Wai Chan et al.   REMOTE SENSING OF ENVIRONMENT

Mapping land-cover modifications over large areas: A comparison of machine learning algorithms

(2008) John Rogan et al.   REMOTE SENSING OF ENVIRONMENT

Object-based classification using Quickbird imagery for delineating forest vegetation polygons in a Mediterranean test site

(2007) Georgios Mallinis et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING