RT Book, Section
T1 Accuracy Assessment for Soft Classification Maps
A1 Gómez González, Daniel
A1 Biging, Greg
A1 Montero De Juan, Francisco Javier
A2 Guangxing, Wang
A2 Qihao, Weng
AB 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 ...
PB CRC Press
SN 9781466556928
YR 2013
FD 2013
LK https://hdl.handle.net/20.500.14352/35718
UL https://hdl.handle.net/20.500.14352/35718
LA eng
DS Docta Complutense
RD 9 abr 2025