![]() ![]() This paper presents a novel RF OBIA method for high resolution remote sensing image CD that makes full use of the advantages of RF and OBIA. The prediction effect and performance stability of random forest (RF), as a new kind of machine learning algorithm, are better than many single predictors and integrated forecasting method. ![]() Their aim has been developing more intelligent interpretation analysis methods in the future. Studies based on object-based image analysis (OBIA) representing the paradigm shift in remote sensing image change detection (CD) have achieved remarkable progress in the last decade. Firstly, the entropy rate segmentation algorithm is used to segment the image for the purpose of measuring the homogeneity of. ![]() In Cehui Xuebao/Acta Geodaetica et Cartographica Sinica 46 (11). Change Detection Method for High Resolution Remote Sensing Images Using Random Forestįeng, Wenqing Sui, Haigang Tu, Jihui Sun, Kaimin and Huang, Weiming LU ![]()
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