Land cover mapping via image classification is sometimes realized through object-based image analysis. Objects are typically constructed by partitioning imagery into spatially contiguous groups of pixels through image segmentation and used as the basic spatial unit of analysis. As it is typically desirable to know the accuracy with which the objects have been delimited prior to undertaking the classification, numerous methods have been used for accuracy assessment. This paper reviews the state-of-the-art of image segmentation accuracy assessment in land cover mapping applications. First the literature published in three major remote sensing journals during 2014–2015 is reviewed to provide an overview of the field. This revealed that qualitative assessment based on visual interpretation was a widely-used method, but a range of quantitative approaches is available. In particular, the empirical discrepancy or supervised methods that use reference data for assessment are thoroughly reviewed as they were the most frequently used approach in the literature surveyed. Supervised methods are grouped into two main categories, geometric and non-geometric, and are translated here to a common notation which enables them to be coherently and unambiguously described. Some key considerations on method selection for land cover mapping applications are provided, and some research needs are discussed.

中文翻译：

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土地覆盖制图中图像分割精度评估的监督方法

有时通过基于对象的图像分析实现通过图像分类的土地覆盖制图。对象通常是通过图像分割将图像分割成空间上连续的像素组来构建的，并用作分析的基本空间单元。由于通常希望在进行分类之前知道对象已被划定的准确度，因此已使用多种方法进行准确度评估。本文回顾了土地覆盖制图应用中图像分割精度评估的最新技术。首先回顾了 2014-2015 年期间发表在三个主要遥感期刊上的文献，以提供该领域的概述。这表明基于视觉解释的定性评估是一种广泛使用的方法，但是可以使用一系列定量方法。特别是，对使用参考数据进行评估的经验差异或监督方法进行了彻底审查，因为它们是所调查文献中最常用的方法。监督方法分为两大类，几何和非几何，并在此处转换为通用符号，使它们能够被连贯和明确地描述。提供了土地覆盖制图应用方法选择的一些关键考虑因素，并讨论了一些研究需求。几何和非几何，并在此处转换为通用符号，使它们能够被连贯和明确地描述。提供了土地覆盖制图应用方法选择的一些关键考虑因素，并讨论了一些研究需求。几何和非几何，并在此处转换为通用符号，使它们能够被连贯和明确地描述。提供了土地覆盖制图应用方法选择的一些关键考虑因素，并讨论了一些研究需求。