MINIMAL LEARNING MACHINE IN ANOMALY DETECTION FROM HYPERSPECTRAL IMAGES

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...

Disgrifiad llawn

Manylion Llyfryddiaeth
Prif Awduron:	I. Pölönen, K. Riihiaho, A.-M. Hakola, L. Annala
Fformat:	Erthygl
Iaith:	English
Cyhoeddwyd:	Copernicus Publications 2020-08-01
Cyfres:	The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Mynediad Ar-lein:	https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B3-2020/467/2020/isprs-archives-XLIII-B3-2020-467-2020.pdf

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