Nested Hyper-Rectangle Learning Model for Remote Sensing
Published in Photogrammetric Engineering & Remote Sensing • Mar 1, 2005
Authors:
Li Chen
Abstract
This study presents an exemplar-based nested hyper-rectangle learning model (NHLM) which is an efficient and accurate supervised classification model. The proposed model is based on the concept of seeding training data in the Euclidean m-space (where m denotes the number of features) as hyper-rectan...
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