Unsupervised machine/deep learning mapping (clustering) for single/multi-source remote sensing data University of Antwerp
In recent years, there has been an explosive growth in remotely sensed (RS) data usage in geoscience and Earth observation applications. The recent technical advancements allow users to acquire various types of rich information. A quintessential example of RS data is hyperspectral imagery. A hyperspectral image (HSI) provides rich spectral data over a wide range of the electromagnetic spectrum. Such information enables users to identify, track ...