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通过彩色红外摄影和数字图像的图像分析绘制帚状蛇鞭菊分布图。

Mapping broom snakeweed through image analysis of color-infrared photography and digital imagery.

作者信息

Everitt J H, Yang C

机构信息

USDA-ARS, Integrated Farming and Natural Resources Research, 2413 E. Highway 83, Weslaco, TX 78596, USA.

出版信息

Environ Monit Assess. 2007 Nov;134(1-3):287-92. doi: 10.1007/s10661-007-9619-0. Epub 2007 Feb 13.

Abstract

A study was conducted on a south Texas rangeland area to evaluate aerial color-infrared (CIR) photography and CIR digital imagery combined with unsupervised image analysis techniques to map broom snakeweed [Gutierrezia sarothrae (Pursh.) Britt. and Rusby]. Accuracy assessments performed on computer-classified maps of photographic images from two sites had mean producer's and user's accuracies for broom snakeweed of 98.3 and 88.3%, respectively; whereas, accuracy assessments performed on classified maps from digital images of the same two sites had mean producer's and user's accuracies for broom snakeweed of 98.3 and 92.8%, respectively. These results indicate that CIR photography and CIR digital imagery combined with image analysis techniques can be used successfully to map broom snakeweed infestations on south Texas rangelands.

摘要

在德克萨斯州南部的一片牧场区域进行了一项研究,以评估航空彩色红外(CIR)摄影和CIR数字图像,并结合无监督图像分析技术来绘制帚状蛇菰[Gutierrezia sarothrae (Pursh.) Britt. and Rusby]的分布图。对来自两个地点的摄影图像的计算机分类地图进行的精度评估显示,帚状蛇菰的生产者精度和用户精度平均值分别为98.3%和88.3%;而对来自相同两个地点的数字图像的分类地图进行的精度评估显示,帚状蛇菰的生产者精度和用户精度平均值分别为98.3%和92.8%。这些结果表明,CIR摄影和CIR数字图像结合图像分析技术可成功用于绘制德克萨斯州南部牧场的帚状蛇菰侵染情况分布图。

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