Vegetation Detection with Spatial Segmentation and Spectral Indices

被引：0

作者：

Demirel, Berkan ^{[1
]}

Esin, Yunus Emre ^{[1
]}

Ozdil, Omer ^{[1
]}

机构：

[1] HAVELSAN AS, Algilayicilar Sinyal &e Goruntu Isleme Grubu, Ankara, Turkey

来源：

2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2017年

关键词：

hyperspectral image processing; spatial segmentation; vegetation indices; grape plant detection;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

This paper proposes a new vegetation detection approach using spatial segmentation and vegetation indices. For this purpose, hyperspectral images are segmented by using the previously trained spatial segmentation model. Thereafter, grape plants are tried to be detected in hyperspectral data by using the obtained segments and related vegetation indices. Experimental results on Salinas data cube show that the use of the spatial segmentation models with vegetation indices produces promising results.

引用

页数：4

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