Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Assessing the quality of training data in the supervised classification of remotely sensed imagery: a correlation analysis
Assessing the quality of training data in the supervised classification of remotely sensed imagery: a correlation analysis
Assessing the quality of training data in the supervised classification of remotely sensed imagery: a correlation analysis
Ge, Yong (Autor:in) / Bai, Hexiang / Wang, Jinfeng / Cao, Feng
2012
Aufsatz (Zeitschrift)
Englisch
Supervised Classification of Remotely Sensed Imagery Using a Modified k-NN Technique
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|Weakly Supervised Classification of Remotely Sensed Imagery Using Label Constraint and Edge Penalty
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|Automatic land cover analysis for Tenerife by supervised classification using remotely sensed data
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|Book Review — Digital Analysis of Remotely Sensed Imagery
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