Object oriented image analysis in remote sensing of forest and vineyard areas.
Object oriented image analysis in remote sensing of forest and vineyard areas.
复制标题
森林和葡萄园地区遥感中面向对象的图像分析。
DOI：
10.15835/buasvmcn-hort:11409
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
F. Sala
中科院分区：
文献类型：
--
作者：
M. Govedarica;A. Ristic;D. Jovanović;M. Herbei;F. Sala
由于卫星技术所提供的便利，利用卫星技术对植被、森林、果园或葡萄园和作物进行研究的工作日益得到促进。鉴于植被结构分析的多样性和预期结果，开发了一些处理和分析卫星图像的方法和技术，以提高工作的精度。本研究旨在分析面向对象的图像分析（OBIA）识别森林和葡萄园的能力。OBIA是通过对人类视觉系统进行建模来进行图像解释的对象提取的自动化过程。分类过程的基础是对象，对象是根据特征集创建的。在面向对象的方法中，分类描述是基于分类规则的，包括光谱特征、大小、形状以及内容和纹理信息。对高和极高空间分辨率的多光谱图像进行了分析。代表性的结果显示RapidEye和WorldView2图像的有用性以及基于OBIA的分类的重要性。基于卫星图像的面向对象图像分析方法（OBIA），有助于识别森林和葡萄园区，具有较高的精度。
The study of vegetation cover, forests, orchards or vineyards and crops through satellite techniques is increasingly promoted as a result of facilities they offer. A number of methods and techniques for processing and analysis of satellite images are developed to increase the precision of the working, given the diversity of vegetation structure analysis and expected results. This study aimed to analyze the capabilities of object-oriented image analysis (OBIA) for recognition forest and vineyard areas. OBIA is automated process of object extraction by modelling of human visual system for image interpretation. The basis for classification process is object, which is created according to the set of characteristics. In object-oriented approach classification description is based on classification rules including spectral characteristics, size, shape, as well as content and texture information. Analysis is done on multispectral imagery of high and very high spatial resolution. Represented results show the usefulness of RapidEye and WorldView2 images as well as importance of classification based on OBIA. Object-oriented image analysis (OBIA) method based on satellite imagery has facilitated the recognition forest and vineyard areas with high accuracy.