Boosting, bagging, and consensus based classification of multisource remote sensing data
GJ Briem, JA Benediktsson, JR Sveinsson - … July 2–4, 2001 Proceedings 2, 2001 - Springer
The need to optimize the classification accuracy of remotely sensed imagery has led to an
increasing use of Earth observation data with different characteristics collected from a variety
of sensors from different parts of the electromagnetic spectrum. Combining multisource data
is believed to offer enhanced capabilities for the classification of target surfaces. In the paper
several single and multiple classifiers which are appropriate for classification of multisource
remote sensing and geographic data are considered. The focus is on multiple classifiers …
increasing use of Earth observation data with different characteristics collected from a variety
of sensors from different parts of the electromagnetic spectrum. Combining multisource data
is believed to offer enhanced capabilities for the classification of target surfaces. In the paper
several single and multiple classifiers which are appropriate for classification of multisource
remote sensing and geographic data are considered. The focus is on multiple classifiers …
[CITATION][C] Boosting, bagging, and consensus based classification of multisource remote sensing data, 2nd Int
GJ Briem, JA Benediktsson… - Workshop on …, 2001 - Springer Verlag, Lecture Notes in …
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