ROTATION ADAPTIVE PLOT EXTRACTION FROM UAV RGB IMAGES

被引：0

作者：

Guo, Jiaqi ^{[1
]}

Yang, Changye ^{[1
]}

Cai, Enyu ^{[1
]}

Delp, Edward J. ^{[1
]}

机构：

[1] Purdue Univ, Sch Elect & Comp Engn, Video & Image Proc Lab, W Lafayette, IN USA

来源：

IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2023年

关键词：

UAV; plot extraction; plant phenotyping; optimization;

D O I：

10.1109/IGARSS52108.2023.10281508

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

Unmanned Aerial Vehicles (UAVs) have the ability to acquire high resolution RGB images from plant fields. A field used for plant research is usually divided into smaller groups of plants known as "plots" to evaluate varieties or management practices. In this paper, we propose an optimization-based, rotation-adaptive approach for extracting plots in a UAV RGB orthomosaic image. From the experiments, our proposed method is robust against range/plot rotation and achieves higher segmentation accuracy compared with existing plot extraction approaches.

引用

页码：3522 / 3525

页数：4

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