Hierarchical fusion of multiple classifiers for hyperspectral data analysis

DOI10.1007/s100440200019zbMath1024.68094OpenAlexW2012514949MaRDI QIDQ1849252

Melba M. Crawford, Shailesh Kumar, Joydeep Ghosh

Publication date: 1 December 2002

Published in: PAA. Pattern Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s100440200019

zbMATH Keywords

remote sensingbinary hierarchical classifierhyperspectral feature extraction

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Data structures (68P05)

Related Items (7)

New support vector-based design method for binary hierarchical classifiers for multi-class classification problems ⋮ A survey of hierarchical classification across different application domains ⋮ Adaptive fusion and co-operative training for classifier ensembles ⋮ CORES: fusion of supervised and unsupervised training methods for a multi-class classification problem ⋮ Multiclass classification based on multi-criteria decision-making ⋮ Data dependency in multiple classifier systems ⋮ THEORETICAL FOUNDATIONS AND EXPERIMENTAL RESULTS FOR A HIERARCHICAL CLASSIFIER WITH OVERLAPPING CLUSTERS

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