Self-Organizing Maps for Clustering Hyperspectral Images On-Board a CubeSat
Hyperspectral remote sensing reveals detailed information about the optical response of a scene.Self-Organizing Maps (SOMs) can partition a hyperspectral dataset into clusters, both to enable more analysis on-board the imaging platform and to reduce downlink time.Here, the expected MESSING CREME on-board performance of the SOM algorithm is calculat