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oai:docta.ucm.es:20.500.14352/357182024-11-26T15:01:18Zcom_20.500.14352_14col_20.500.14352_21

Accuracy Assessment for Soft Classification Maps Gómez González, Daniel Biging, Greg Montero De Juan, Francisco Javier Guangxing, Wang Qihao, Weng 519.22 Estadística matemática (Matemáticas) 1209 Estadística An important topic in using maps derived from a statistical classifier is the accuracy assessment of the classification. Analysts usually need to compare various techniques, algorithms, or different approaches. As pointed out by Stehman and Czaplewski (1998), the accuracy assessment of classification maps generally involves three different steps: the sampling design, the response or measurement design to obtain the true classes for each sampling (usually requiring an expert), and the analysis of the data obtained. In the ... Depto. de Estadística e Investigación Operativa Fac. de Ciencias Matemáticas TRUE pub 2023-06-19T15:54:28Z 2023-06-19T15:54:28Z 2013 book part https://hdl.handle.net/20.500.14352/35718 XXXX-XXXX eng Remote Sensing Applications Series restricted access application/pdf CRC Press