Shape detection in multispectral imagery

dc.contributor.advisor Richards, John en_US Ryan, Michael en_US 2022-03-16T15:14:59Z 2022-03-16T15:14:59Z 1989 en_US
dc.description.abstract An investigation of shape analysis methods is presented for application to remotely sensed images. The Method of Moments, in conjunction with linear pattern classification techniques, is shown to be suitable for the recognition of simple polygonal shapes in the absence of noise and in the presence of additive Gaussian noise with positive signal-to- noise ratios. The appropriate weight vectors for linear separation are presented and a suitable decision process is described for the recognition of desired shapes. The Method of Moments is successfully applied to a region which has been extracted from a real remotely sensed image using various segmentation thresholds. Finally, some recommendations are made for further work. en_US
dc.language English
dc.language.iso EN en_US
dc.publisher UNSW, Sydney en_US
dc.rights CC BY-NC-ND 3.0 en_US
dc.rights.uri en_US
dc.source Thesis Digitisation Program en_US
dc.subject.other Remote sensing en_US
dc.subject.other Multispectral photography en_US
dc.subject.other Image processing en_US
dc.subject.other Moments method en_US
dc.title Shape detection in multispectral imagery en_US
dc.type Thesis en_US
dcterms.accessRights open access
dcterms.rightsHolder Ryan, Michael
dspace.entity.type Publication en_US
unsw.relation.faculty Science
unsw.relation.originalPublicationAffiliation Ryan, Michael, Centre for Remote Sensing, Faculty of Engineering, UNSW en_US
unsw.relation.originalPublicationAffiliation Richards, John , Centre for Remote Sensing, UNSW en_US School of Biological, Earth & Environmental Sciences *
unsw.thesis.degreetype Masters Thesis en_US
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