Accuracy assessment of satellite derived land - cover data : a review
Accuracy assessment of satellite derived land - cover data : a review
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DOI：
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发表时间：
1994-04
影响因子：
1.3
通讯作者：
L. Janssen;F. V. D. Wel
中科院分区：
文献类型：
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作者：
L. Janssen;F. V. D. Wel
对遥感数据得出的土地覆盖分类的准确性评估已被认为是判断这些数据是否适合特定应用的宝贵工具。最近在空间数据准确性和地理信息系统中遥感数据集成领域的研究举措重新引发了关于准确性评估的讨论。本文旨在通过基于位置和主题准确性划分的评论来为这一讨论做出贡献。一个重要的观察是评估数据准确性的方法数量有限。然而，不同作者所应用的定义有很大差异，特别是在热准确性的评估方面。准确性评估主要产生一种单一度量，例如均方根误差或正确分类的像素比例。这些单一措施不能提供足够的信息，并且它们可能基于统计或方法上无效的方法。因此，不应明确报告单个措施，而应明确报告评估这些措施的整个过程。
Accuracy assessment of land-cover classifications derived from remote sensing data has been recognized as a valuable tool in judging the fitness of these data for a particular application. Recent research initiatives in the area of spatial data accuracy and integration of remote sensing data in geographic information systems have revived the discussion on accuracy assessment. This article aims at contributing to this discussion by means of a review based on a division into positional and thematic accuracy. An important observation is that there are a limited number of methods for assessing data accuracy. However, the applied definitions differ very much from author to author, especially in the assessment of thermatic accuracy. Accuracy assessment mostly yields one single measure such as root-mean-square error or proportion of pixels correctly classified. These single measures do not give sufficient information and they can be based on statistically or methodologically non-valid methods. Therefore, not a single measure but also the total process of assessing these measures should explicitly be reported.