Change detection thresholds for remotely sensed images

被引:7
作者
Rogerson P.A. [1 ]
机构
[1] Department of Geography, University at Buffalo, Wilkeson Hall, Buffalo
关键词
Change detection; Random images; Spatial autocorrelation; Thresholds;
D O I
10.1007/s101090100076
中图分类号
学科分类号
摘要
The detection of change in remotely sensed images is often carried out by designating a threshold to distinguish between areas of change and areas of no change. The choice of threshold is often arbitrary however. The purpose of this paper is to offer a statistical framework for the selection of thresholds. The framework accounts for the facts that one carries out multiple tests of the null hypothesis of no change, when searching for regions of change over an image with a large number of pixels. Special attention is given to global spatial autocorrelation, which can affect the selection of appropriate threshold values. © Springer-Verlag 2002.
引用
收藏
页码:85 / 97
页数:12
相关论文
共 31 条
  • [1] Adler R., The Geometry of Random Field's, (1981)
  • [2] Anselin L., Local indicators of spatial analysis - LISA, Geographical Analysis, 27, pp. 93-115, (1995)
  • [3] Arbia G., Haining R., Griffith D., Error propagation modeling in raster GIS: Addition and ratioing operations, Cartographic and Geographic Information Systems, 26, pp. 297-315, (1999)
  • [4] Arbia G., Haining R., Griffith D., Error propagation modeling in raster GIS: Overlay operations, International Journal of Geographic Information Systems, 12, pp. 145-167, (1999)
  • [5] Getis A., Ord K.K., The analysis of spatial association by use of distance statistics, Geographical Analysis, 24, pp. 190-206, (1992)
  • [6] Gopal S., Woodcock C., Artificial neural networks for detecting forest change, Information Processing for Remote Sensing, pp. 225-236, (1998)
  • [7] Haining R., Spatial Data Analysis in the Social and Environmental Sciences, (1990)
  • [8] Holmes A.P., Blair R.C., Watson J.D.G., Ford I., Nonparametric analysis of statistic images from functional mapping experiments, Journal of Cerebral Blood Flow and Metabolism, 16, pp. 7-22, (1996)
  • [9] Ingram K.I., Knapp E.M., Robinson J.W., Change detection technique development for improved urban area delineation, Final Report #TM-81/6087, TM-81-6087, (1981)
  • [10] Jensen J.R., Toll D.L., Detecting residential land use development at the urban fringe, Photogrammetric Engineering and Remote Sensing, 48, 4, pp. 629-643, (1982)