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

Clement, Brian Roy2017-06-222017-06-221977http://hdl.handle.net/10179/11285This 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 dataenThe AuthorLandsat satellitesRemote sensingData processingObservationsUnsupervised 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 UniversityThesisQ112837810https://www.wikidata.org/wiki/Q112837810