HOLP-DF: HOLP Based Screening Ultrahigh Dimensional Subfeatures in Deep Forest for Remote Sensing Image Classification

To overcome the high intramodel dimensionality and low ensemble diversity issues, which limit the classification performance of original deep forest (DF), a new version of DF, the high-ordinary least square projection (HOLP) DF, was proposed in this article by introducing model-based HOLP feature sc...

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Bibliographic Details
Main Authors: Alim Samat, Erzhu Li, Wei Wang, Sicong Liu, Ximing Liu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9899729/