Evaluation of change detection techniques for monitoring coastal zone environmentsProcedures for detecting changes in Landsat multispectral scanning imagery of coastal zone environments are discussed. Four detection procedures are examined: a comparison of independently produced spectral classifications; a classification of a multispectral difference data set; a single analysis of a multidate data set; and a maximum likelihood classification using multistage decision logic. The relatively complex maximum likelihood classification technique was found to yield results closest to those obtained with the comparison of independently produced spectral classifications, the chosen standard.
Document ID
19780030966
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Weismiller, R. A. (Purdue Univ. West Lafayette, IN, United States)
Kristof, S. J. (Purdue Univ. West Lafayette, IN, United States)
Scholz, D. K. (Purdue Univ. West Lafayette, IN, United States)
Anuta, P. E. (Purdue Univ. West Lafayette, IN, United States)
Momin, S. M. (Purdue University West Lafayette, Ind., United States)
Date Acquired
August 9, 2013
Publication Date
January 1, 1977
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: International Symposium on Remote Sensing of Environment