Evaluation of different machine learning methods for land cover mapping of a Mediterranean area using multi-seasonal Landsat images and Digital Terrain Models

Improved Land Cover Mapping using Random Forests Combined with Landsat Thematic Mapper Imagery and Ancillary Geographic Data

(2013) Xiaodong Na et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Parameterizing Support Vector Machines for Land Cover Classification

(2013) Xiaojun Yang   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Incorporating the Downscaled Landsat TM Thermal Band in Land-cover Classification using Random Forest

(2013) V.F. Rodríguez-Galiano et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Evaluation of diverse classification approaches for land use/cover mapping in a Mediterranean region utilizing Hyperion data

(2012) Alata Elatawneh et al.   International Journal of Digital Earth

Comparison of support vector machine, neural network, and CART algorithms for the land-cover classification using limited training data points

(2012) Yang Shao et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Proposed workflow for improved Kauth–Thomas transform derivations

(2012) Lance D. Yarbrough et al.   REMOTE SENSING OF ENVIRONMENT

Random Forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture

(2012) V.F. Rodriguez-Galiano et al.   REMOTE SENSING OF ENVIRONMENT

Mapping of hyperspectral AVIRIS data using machine-learning algorithms

(2011) Björn Waske et al.   CANADIAN JOURNAL OF REMOTE SENSING

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

Hyperion hyperspectral imagery analysis combined with machine learning classifiers for land use/cover mapping

(2011) George P. Petropoulos et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

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

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

Assessment and monitoring of land condition in the Iberian Peninsula, 1989–2000

(2010) Gabriel del Barrio et al.   REMOTE SENSING OF ENVIRONMENT

Land cover change assessment using decision trees, support vector machines and maximum likelihood classification algorithms

(2009) J.R. Otukei et al.   International Journal of Applied Earth Observation and Geoinformation

Sample size determination for image classification accuracy assessment and comparison

(2009) Giles M. Foody   INTERNATIONAL JOURNAL OF REMOTE SENSING

Urban land use and land cover classification using the neural-fuzzy inference approach with Formosat-2 data

(2009) Ni-Bin Chang   Journal of Applied Remote Sensing

Integrating Landsat TM and SRTM-DEM derived variables with decision trees for habitat classification and change detection in complex neotropical environments

(2008) Steven E. Sesnie et al.   REMOTE SENSING OF ENVIRONMENT

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