Title :
Classification of Multispectral Image Data by Extraction and Classification of Homogeneous Objects
Author :
Kettig, R.L. ; Landgrebe, D.A.
Author_Institution :
Laboratory for Applications of Remote Sensing, Department of Electrical Engineering, Purdue University, West Lafayette, IN 47907 now with the Communication Sciences Division, U.S. Naval Research Laboratory, Washington, DC 20375
Abstract :
A method of classification of digitized multispectral image data is described. It is designed to exploit a particular type of dependence between adjacent states of nature that is characteristic of the data. The advantages of this, as opposed to the conventional "per point" approach, are greater accuracy and efficiency, and the results are in a more desirable form for most purposes. Experimental results from both aircraft and satellite data are included.
Keywords :
Aircraft propulsion; Data mining; Decision theory; Geoscience; Laboratories; Layout; Multispectral imaging; Partitioning algorithms; Remote sensing; Satellites;
Journal_Title :
Geoscience Electronics, IEEE Transactions on
DOI :
10.1109/TGE.1976.294460
