SUPERPIXEL CONTEXT DESCRIPTION BASED ON VISUAL WORDS CO-OCCURRENCE MATRIX

被引：0

作者：

Santana, Tiago M. H. C. ^{[1
]}

Torres, Ricardo da S. ^{[2
]}

dos Santos, Jefersson A. ^{[1
]}

机构：

[1] Univ Fed Minas Gerais, Dept Comp Sci, Belo Horizonte, MG, Brazil

[2] Univ Estadual Campinas, Inst Comp, Campinas, SP, Brazil

来源：

IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2018年

基金：

巴西圣保罗研究基金会;

关键词：

Contextual description; land-cover thematic maps; Visual Words; Co-occurrence Matrix; superpixel; INFORMATION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we introduce a novel representation to encode contextual information in object-based remote sensing image classification problems. The solution relies on the creation of a visual codebook and its use to compute the co-occurrence of visual words within a superpixel and within its neighboring regions. Performed experiments on the well-known collections (grss_dfc_2014 and ISPRS Potsdam) demonstrate that the proposed approach is effective, yielding comparable or better results than several baselines.

引用

页码：6199 / 6202

页数：4

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