Confidence in coincidence
| Autor: | Ferenc Csillag, Tarmo K. Remmel, Sándor Kabos |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
Pixel
Computer science business.industry Pattern recognition Conditional probability distribution Measure (mathematics) Coincidence Set (abstract data type) Matrix (mathematics) General Earth and Planetary Sciences Artificial intelligence business Categorical variable Cartography Realization (probability) |
| Zdroj: | International Journal of Remote Sensing. 27:1269-1276 |
| ISSN: | 1366-5901 0143-1161 |
| DOI: | 10.1080/01431160500177455 |
| Popis: | We present a simple simulation scheme to derive confidence intervals for measures computed based on a coincidence matrix. Our approach is based on the conditional distributions between two categorical maps, and is a direct interpretation of how much information one map (usually the classified image) carries about the other map (usually the reference image). The simulation algorithm creates a realization of the map created by visiting each pixel and drawing a random sample from the conditional distribution of reference categories (conditioned on the category of the pixel of the classified image). Confidence intervals can be derived by repeating the simulation many times and computing the coincidence measure(s). Handling the coincidence matrix as a set of conditional distributions also allows the comparison of maps with different numbers of categories. This approach is an extension of the traditional methodology widely used in accuracy assessment of data derived from remotely sensed images. We illustrate th... |
| Databáze: | OpenAIRE |
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