Remote Sensing Based Binary Classification of Maize. Dealing with Residual Autocorrelation in Sparse Sample Situations

Geographical Random Forests: A Spatial Extension of the Random Forest Algorithm to Address Spatial Heterogeneity in Remote Sensing and Population Modelling

(2019) Stefanos Georganos et al.   Geocarto International

Training sample refining method using an adaptive neighbor to improve the classification performance of very high-spatial resolution remote sensing images

(2019) ZhiYong Lv et al.   Journal of Applied Remote Sensing

When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs

(2018) Gong Cheng et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables

(2018) Tomislav Hengl et al.   PeerJ

A review of supervised object-based land-cover image classification

(2017) Lei Ma et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A survey of methods incorporating spatial information in image classification and spectral unmixing

(2016) Le Wang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

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

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

Effect of training strategy for positive and unlabelled learning classification: test on Landsat imagery

(2016) Xuehong Chen et al.   Remote Sensing Letters

A Review of the Application of Optical and Radar Remote Sensing Data Fusion to Land Use Mapping and Monitoring

(2016) Neha Joshi et al.   Remote Sensing

On the Importance of Training Data Sample Selection in Random Forest Image Classification: A Case Study in Peatland Ecosystem Mapping

(2015) Koreen Millard et al.   Remote Sensing

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

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

Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data

(2010) Jordi Mũnoz-Marí et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING