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...

وصف كامل

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	I. Pölönen, K. Riihiaho, A.-M. Hakola, L. Annala
التنسيق:	مقال
اللغة:	English
منشور في:	Copernicus Publications 2020-08-01
سلاسل:	The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
الوصول للمادة أونلاين:	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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