Remote Sensing Image Scene Classification Using Multi-Scale Completed Local Binary Patterns and Fisher Vectors

Remote Sensing Image Scene Classification Using Multi-Scale Completed Local Binary Patterns and Fisher Vectors

An effective remote sensing image scene classification approach using patch-based multi-scale completed local binary pattern (MS-CLBP) features and a Fisher vector (FV) is proposed. The approach extracts a set of local patch descriptors by partitioning an image and its multi-scale versions into dens...

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Bibliographic Details
Main Authors: Longhui Huang, Chen Chen, Wei Li, Qian Du
Format: Article
Language:English
Published: MDPI AG 2016-06-01
Series:Remote Sensing
Subjects:
remote sensing image scene classification
completed local binary patterns
multi-scale analysis
fisher vector
extreme learning machine
Online Access:http://www.mdpi.com/2072-4292/8/6/483

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