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• W2115060913 abstract "column (Lillesand and Kiefer, 1994, p. 613; Story and ConThe concept of assessment as they relate to galton, 1986; Aronoff, 1982a; Aronoff, 1982b)), user's accuracy image-based change detection is developed. These curves are (the classified for a given row a graphical representation of the relationship between typical divided by the total for that row users accuracy, (Lillesand accuracy assessment figures and a binary change detection and Kiefer119949 PP. 613; Story and Congalton* 1986; Aronoff9 threshold level. After an introduction to accuracy assessment 1982a; o Congalton the binary change threshold level is first shown with a series et ~l.9 1983)). shows a standard matrix. of error matrices. This relationship is then expanded across a For binary change detection, the image processing range of thresholds and shown as accuracy assessment curves. is a metric tobeusedto quantify changesin These curves show how accuracy figures are dependent on the reflectance values between two images- This is typically some change threshold level. hi^ dependency indicates distance function between corrected reflectance values or some limitations of binary &ange maps. These limitations between index values derived from each image. For any binary provide the impetus for a continuous change product. We change detection* the accuracy figures will change depending describe how a continuous Probability-of-change (PW) image, the level (Fung and LeDrew, 1988). We try to derived frorn statistical models, can be incorporated with the express this dependence in an intuitive way with the followaccuracy assessment curves to produce a more meaningful and ing informative change detection product." @default.
• W2115060913 created "2016-06-24" @default.
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• W2115060913 date "2000-01-01" @default.
• W2115060913 modified "2023-10-01" @default.
• W2115060913 title "Accuracy Assessment Curves for Satellite-Based Change Detection" @default.
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