Assessing the performance of two unsupervised dimensionality reduction techniques on hyperspectral APEX data for high resolution urban land-cover mapping Vrije Universiteit Brussel
Despite the high richness of information content provided by airborne hyperspectral data, detailed urban
land-cover mapping is still a challenging task. An important topic in hyperspectral remote sensing is the
issue of high dimensionality, which is commonly addressed by dimensionality reduction techniques.
While many studies focus on methodological developments in data reduction, less attention is paid to
the assessment ...
land-cover mapping is still a challenging task. An important topic in hyperspectral remote sensing is the
issue of high dimensionality, which is commonly addressed by dimensionality reduction techniques.
While many studies focus on methodological developments in data reduction, less attention is paid to
the assessment ...