Investigating the Utility of Oblique Tree-Based Ensembles for the Classification of Hyperspectral Data

Random Forest (RF) Wrappers for Waveband Selection and Classification of Hyperspectral Data

(2016) Nitesh Keshavelal Poona et al.   APPLIED SPECTROSCOPY

Land cover and land use mapping of the iSimangaliso Wetland Park, South Africa: comparison of oblique and orthogonal random forest algorithms

(2016) Zaakirah Bassa et al.   Journal of Applied Remote Sensing

Spectral–Spatial Classification for Hyperspectral Data Using Rotation Forests With Local Feature Extraction and Markov Random Fields

(2015) Junshi Xia et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Random Forest and Rotation Forest for fully polarized SAR image classification using polarimetric and spatial features

(2015) Peijun Du et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Optimum spectral and geometric parameters for early detection of laurel wilt disease in avocado

(2015) A.I. De Castro et al.   REMOTE SENSING OF ENVIRONMENT

Object-based classification with rotation forest ensemble learning algorithm using very-high-resolution WorldView-2 image

(2015) Taskin Kavzoglu et al.   Remote Sensing Letters

Early Detection and Quantification of Verticillium Wilt in Olive Using Hyperspectral and Thermal Imagery over Large Areas

(2015) Rocío Calderón et al.   Remote Sensing

Feature Selection with theBorutaPackage

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

Using Boruta-Selected Spectroscopic Wavebands for the Asymptomatic Detection of Fusarium Circinatum Stress

(2014) Nitesh K. Poona et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Hyperspectral Remote Sensing Image Classification Based on Rotation Forest

(2013) Junshi Xia et al.   IEEE Geoscience and Remote Sensing Letters

Detecting Sirex noctilio grey-attacked and lightning-struck pine trees using airborne hyperspectral data, random forest and support vector machines classifiers

(2013) Elfatih M. Abdel-Rahman et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

High-resolution airborne hyperspectral and thermal imagery for early detection of Verticillium wilt of olive using fluorescence, temperature and narrow-band spectral indices

(2013) R. Calderón et al.   REMOTE SENSING OF ENVIRONMENT

Hyperspectral detection of rice damaged by rice leaf folder (Cnaphalocrocis medinalis)

(2012) Jianrong Huang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Spectral resampling based on user-defined inter-band correlation filter: C3 and C4 grass species classification

(2012) Clement Adjorlolo et al.   International Journal of Applied Earth Observation and Geoinformation

Spectral response to varying levels of leaf pigments collected from a degraded mangrove forest

(2012) Yali Liu   Journal of Applied Remote Sensing

Robust Hyperspectral Classification Using Relevance Vector Machine

(2011) Fereidoun A. Mianji et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Discriminating the papyrus vegetation (Cyperus papyrus L.) and its co-existent species using random forest and hyperspectral data resampled to HYMAP

(2011) E. M. Adam et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Discriminating the early stages of Sirex noctilio infestation using classification tree ensembles and shortwave infrared bands

(2011) R. Ismail et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Detection of bacterial wilt infection caused by Ralstonia solanacearum in potato (Solanum tuberosum L.) through multifractal analysis applied to remotely sensed data

(2011) Perla Chávez et al.   PRECISION AGRICULTURE

Spectral requirements on airborne hyperspectral remote sensing data for wheat disease detection

(2011) Thorsten Mewes et al.   PRECISION AGRICULTURE

The pitch canker fungus,Fusarium circinatum: implications for South African forestry

(2011) RG Mitchell et al.   Southern Forests

Random Forests for Genetic Association Studies

(2011) Benjamin A Goldstein et al.   Statistical Applications in Genetics and Molecular Biology

Diagnosis of bacterial spot of tomato using spectral signatures

(2010) C.D. Jones et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Feature Selection for Classification of Hyperspectral Data by SVM

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

Early detection of toxigenic fungi on maize by hyperspectral imaging analysis

(2010) A. Del Fiore et al.   INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY

Detecting Sugarcane yellow leaf virus infection in asymptomatic leaves with hyperspectral remote sensing and associated leaf pigment changes

(2010) Michael P. Grisham et al.   JOURNAL OF VIROLOGICAL METHODS

Ensemble-based classifiers

(2009) Lior Rokach   ARTIFICIAL INTELLIGENCE REVIEW

A comparison of regression tree ensembles: Predicting Sirex noctilio induced water stress in Pinus patula forests of KwaZulu-Natal, South Africa

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

The role of spectral resolution and classifier complexity in the analysis of hyperspectral images of forest areas

(2009) Michele Dalponte et al.   REMOTE SENSING OF ENVIRONMENT

Three decades of hyperspectral remote sensing of the Earth: A personal view

(2009) Alexander F.H. Goetz   REMOTE SENSING OF ENVIRONMENT

Susceptibility of South African native conifers to the pitch canker pathogen, Fusarium circinatum

(2009) B. Porter et al.   SOUTH AFRICAN JOURNAL OF BOTANY

Pitch canker caused byFusarium circinatum– a growing threat to pine plantations and forests worldwide

(2008) M. J. Wingfield et al.   AUSTRALASIAN PLANT PATHOLOGY