Corn 3D reconstruction for remote sensing validation

被引：0

作者：

Zhang, Wuming ^{[1
]}

Wang, Haoxing ^{[1
]}

Zhou, Guoqing ^{[1
]}

Yan, Guangjian ^{[1
]}

机构：

[1] Beijing Normal Univ, Sch Geog, Beijing 100875, Peoples R China

来源：

PROCEEDINGS OF THE 8TH INTERNATIONAL SYMPOSIUM ON SPATIAL ACCURACY ASSESSMENT IN NATURAL RESOURCES AND ENVIRONMENTAL SCIENCES, VOL I: SPATIAL UNCERTAINTY | 2008年

关键词：

corn; leaf area; three-dimensional reconstruction; remote sensing validation;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Ground-based leaf area and leaf direction measurements are crucial for remote sensing validation of leaf area index (LAI) and leaf angle distribution (LAD) products. The existing methods have some drawbacks, for example the instrument is expensive, or the operation is time consuming and labour intensive. Towards the features of corn, an image-based method is proposed to avoid these limitations. On the basis of photogrammetry, a 3D corn model is reconstructed from captured images. Then accurate leaf areas and leaf directions can be measured on this 3D model. The topics about expanding individual measurement to group measurement and its application in remote sensing LAI inversion and validation are also discussed.

引用

页码：255 / 260

页数：6

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