Image segmentation for classification of vegetation using NOAA-AVHRR data
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TL;DR
The result indicate that image segmentation and supervised classification by regions is a procedure that is useful for mapping vegetation classes on a regional scale.
Abstract
A classification procedure for National Oceanic and Atmospheric Administration Advanced Very High Resolution Radiometer (NOAA AVHRR) data based on image segmentation following supervised classification by regions is presented. The procedure was appliedto channel 1 (0.58-0.68 mu m) and channel 2 (0.72-1.10 mu m) AVHRR mosaics composed of images acquired between 13 and 26 June 1993 for the state of Mato Grosso, Brazil. Eight vegetation classes were identified using this procedure. The result was compared with an existing vegetation map of Mato Grosso state for reference. The quantitative evaluation yielded a kappa coefficient of 0.4. The result indicate that image segmentation and supervised classification by regions is a procedure that is useful for mapping vegetation classes on a regional scale.