Unsupervised clustering of spectral signatures in Landsat imagery : a thesis presented in partial fulfilment of the requirements for the degree of Master of Arts in Computer Science at Massey University
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Date
1977
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Massey University
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Abstract
This thesis describes an investigation into automatic recognition of satellite imagery from the LANDSAT Project. Clustering techniques are shown to be the most suitable; of the three clustering algorithms investigated the k-means is shown to be the most effective. The need to perform edge detection on the images prior to clustering is also demonstrated. A suitable algorithm for edge detection is described. Indexing terms: clustering, LANDSAT Satellite project, pattern recognition, Satellite data
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Keywords
Landsat satellites, Remote sensing, Data processing, Observations