Download files
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.