A comparison of procedures for classifying remotely-sensed data using simulated data sets
- 1 January 1992
- journal article
- research article
- Published by Taylor & Francis in International Journal of Remote Sensing
- Vol. 13 (2) , 365-386
- https://doi.org/10.1080/01431169208904043
Abstract
In this paper we present a systematic study of the efficacy of a number of different land-cover classification procedures by using simulated spectral responses. By simulation we have compared a minimum distance classifier, a maximum likelihood classifier and a penalized maximum likelihood classifier on responses from four different land-cover maps. The responses have been modelled in two ways, the second incorporating horizontal striping as a model of detector effects.Keywords
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