Isolation Forests to Evaluate Class Separability and the Representativeness of Training and Validation Areas in Land Cover Classification

Evaluation of Sampling and Cross-Validation Tuning Strategies for Regional-Scale Machine Learning Classification

(2019) Christopher A. Ramezan et al.   Remote Sensing

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

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

Improving Classification Accuracy of Multi-Temporal Landsat Images by Assessing the Use of Different Algorithms, Textural and Ancillary Information for a Mediterranean Semiarid Area from 2000 to 2015

(2017) Francisco Gomariz-Castillo et al.   Remote Sensing

Improvements in Sample Selection Methods for Image Classification

(2014) Thales Körting et al.   Remote Sensing

Opening the archive: How free data has enabled the science and monitoring promise of Landsat

(2012) Michael A. Wulder et al.   REMOTE SENSING OF ENVIRONMENT

Unsupervised remote sensing image classification using an artificial immune network

(2011) Yanfei Zhong 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

Anomaly detection

(2009) Varun Chandola et al.   ACM COMPUTING SURVEYS

Sampling designs for accuracy assessment of land cover

(2009) Stephen V. Stehman   INTERNATIONAL JOURNAL OF REMOTE SENSING