Hyperspectral tree crown classification using the multiple instance adaptive cosine estimator

Tree species classification using hyperspectral imagery is a challenging task due to the high spectral similarity between species and large intra-species variability. This paper proposes a solution using the Multiple Instance Adaptive Cosine Estimator (MI-ACE) algorithm. MI-ACE estimates a discrimin...

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Bibliographic Details
Main Authors: Sheng Zou, Paul Gader, Alina Zare
Format: Article
Language:English
Published: PeerJ Inc. 2019-02-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/6405.pdf