Data Fusion Using a Multi-Sensor Sparse-Based Clustering Algorithm

The increasing amount of information acquired by imaging sensors in Earth Sciences results in the availability of a multitude of complementary data (e.g., spectral, spatial, elevation) for monitoring of the Earth’s surface. Many studies were devoted to investigating the usage of multi-sensor data se...

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Hlavní autoři:	Kasra Rafiezadeh Shahi, Pedram Ghamisi, Behnood Rasti, Robert Jackisch, Paul Scheunders, Richard Gloaguen
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2020-12-01
Edice:	Remote Sensing
Témata:	multi-sensor data fusion subspace-based clustering sparse representation hierarchical representation remote sensing
On-line přístup:	https://www.mdpi.com/2072-4292/12/23/4007
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