A Multi-Scale Superpixel-Guided Filter Feature Extraction and Selection Approach for Classification of Very-High-Resolution Remotely Sensed Imagery

A Multi-Scale Superpixel-Guided Filter Feature Extraction and Selection Approach for Classification of Very-High-Resolution Remotely Sensed Imagery

In this article, a novel feature selection-based multi-scale superpixel-based guided filter (FS-MSGF) method for classification of very-high-resolution (VHR) remotely sensed imagery is proposed. Improved from the original guided filter (GF) algorithm used in the classification, the guidance image in...

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Bibliographic Details
Main Authors: Sicong Liu, Qing Hu, Xiaohua Tong, Junshi Xia, Qian Du, Alim Samat, Xiaolong Ma
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Remote Sensing
Subjects:
guided filter (gf)
superpixel segmentation
multi-scale features
feature selection
classification
vhr remote sensing images
Online Access:https://www.mdpi.com/2072-4292/12/5/862

Internet

https://www.mdpi.com/2072-4292/12/5/862

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