Perceptual Low-Rank Learning and Geometry-Preserving Feature Selection for Categorizing High-Resolution Aerial Photos

Recognizing the multiple categories of an high-resolution (HR) aerial photos is an indispensable technique in geoscience and remote sensing. In this work, a perceptual low-rank algorithm combined with a geometry-preserving feature selection (FS) is proposed for categorizing HR aerial photos. In prac...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Junwu Zhou, Fuji Ren
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Subjects:	Feature selection geometry high-resolution low-rank
Online Access:	https://ieeexplore.ieee.org/document/10274965/