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| Titel: |
Maximum likelihood TM classification — Taking the effect of pixel to pixel correlation into account |
| Auteur: |
Arai, Kohei |
| Verschenen in: |
Geocarto international |
| Paginering: | Jaargang 7 (1992) nr. 2 pagina's 33-39 |
| Jaar: |
1992-06 |
| Inhoud: |
To investigate the effect of a pixel to pixel correlation on classification performance for TM data, some experiments have been conducted. One of the results shows that the pixel to pixel correlation in homogeneous fields of TM data is larger than that of the simultaneously acquired MSS data. This implies that it is more important to take into account the pixel correlation for TM classification rather than MSS classification. To overcome the effect of the correlation, the following methods have been investigated. Divided the correlated image into several uncorrelated sub-images and Based on the auto-regressive model, modify the Gaussian statistical parameters for the correlated image to those for uncorrelated stochastic process. An example using agricultural TM data shows a slight improvement weighted mean percentage of correct classification. Through the investigation of the correlation structures, a more realistic model for TM data has been developed. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 148 van 250 gevonden artikelen
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