Avancerad sökning

Hittade 2 avhandlingar som matchar ovanstående sökkriterier.

1. 1. Classification of Remotely Sensed Data Utilising the Autocorrelation between Spatio-Temporal Neighbours

   Författare :Ann-Marie Flygare; Sweden Umeå Umeå University Department of Mathematical Statistics; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Image classification; strong mixing; spatio-temporal model; autocorrelation model; autocorrelation estimator; robustness aspects; strong consistency; asymptotic normality; evaluation; Statistik; Statistics;

   Sammanfattning : The subject of this thesis is methods for classifying land using satellite images, and adherent parameter estimation. A satellite image consists of a set of pixels where measurements of spectral intensities are observed. Based on these spectral intensities, each pixel is assigned a class. LÄS MER

3. 2. Contextual classification using multi-temporal Landsat TM data

   Författare :Ann-Marie Flygare; University of Umeå; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : .... LÄS MER