An application of statistical methods to determine the appropriate size and location of classification reference area

Kang Ming Lu, Hsien-Te Lin, Chen Yi Sun

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

Image classification techniques are usually applied to land-use and land-cover researches. One of the most common means of expressing classification accuracy is the preparation of a classification error matrix. Error matrixes compare the relationship between known reference area data and the corresponding results of a classification. Both the representativeness of reference area data and the classification technique influence the overall accuracy. Representativeness of reference area data means the similar component proportion to study area data. Therefore, the purpose of this paper is to find out statistic methods to assist in determining the most representative reference area. In order to assess different methods to determine reference area we tried to make a simulated urban ground truth data which includes 6 categories: road, building, bare land, vegetation, water, and shadow by supervisors Maximum-likelihood method. We tried to apply the Chi-square goodness of fit test to assess the representativeness of reference areas with different sizes and locations, and calculated the indexes x (Chi-square), P G (the probability of Chi-square cumulative distribution function), and AA (absolute error of classification overall accuracy). The results indicated that the lower x or the higher P G presents higher representative of reference area, and there is a negative functional relationship between x and P G. These results led to the conclusion that the appropriate size and location of the reference area could be determined exactly and efficiently by the index P G.

原文English
主出版物標題American Society for Photogrammetry and Remote Sensing Annual Conference 2009, ASPRS 2009
頁面512-521
頁數10
出版狀態Published - 2009 12月 1
事件American Society for Photogrammetry and Remote Sensing Annual Conference 2009, ASPRS 2009 - Baltimore, MD, United States
持續時間: 2009 3月 92009 3月 13

出版系列

名字American Society for Photogrammetry and Remote Sensing Annual Conference 2009, ASPRS 2009
2

Other

OtherAmerican Society for Photogrammetry and Remote Sensing Annual Conference 2009, ASPRS 2009
國家/地區United States
城市Baltimore, MD
期間09-03-0909-03-13

All Science Journal Classification (ASJC) codes

  • 資訊系統
  • 地球科學電腦

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