Details

Autor(en) / Beteiligte

• Chen, Chen
• Zhang, Baochang
• Su, Hongjun
• Li, Wei
• Wang, Lu

Titel

Land-use scene classification using multi-scale completed local binary patterns

Ist Teil von

• Signal, image and video processing, 2016-04, Vol.10 (4), p.745-752

Ort / Verlag

London: Springer London

Erscheinungsjahr

2016

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• In this paper, we introduce the completed local binary patterns (CLBP) operator for the first time on remote sensing land-use scene classification. To further improve the representation power of CLBP, we propose a multi-scale CLBP (MS-CLBP) descriptor to characterize the dominant texture features in multiple resolutions. Two different kinds of implementations of MS-CLBP equipped with the kernel-based extreme learning machine are investigated and compared in terms of classification accuracy and computational complexity. The proposed approach is extensively tested on the 21-class land-use dataset and the 19-class satellite scene dataset showing a consistent increase on performance when compared to the state of the arts.