Loading...
MINIMAL LEARNING MACHINE IN ANOMALY DETECTION FROM HYPERSPECTRAL IMAGES
Anomaly detection from hyperspectral data needs computationally efficient methods to process the data when the data gathering platform is a drone or a cube satellite. In this study, we introduce a minimal learning machine for hyperspectral anomaly detection. Minimal learning machine is a novel dista...
Na minha lista:
| Main Authors: | , , , |
|---|---|
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Copernicus Publications
2020-08-01
|
| Serier: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online adgang: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2020/467/2020/isprs-archives-XLIII-B3-2020-467-2020.pdf |
| Tags: |
Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!
|