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The goal of this work is to use the MODIS Normalized Difference Vegetation Index (NDVI) time-series data for cropland mapping of Great Lakes Basin (GLB). Three classification algorithms were examined to support cropland mapping, including a maximum likelihood, decision tree, and multi-layer perceptron neural network classifiers. The classification results were compared to the agricultural statistics...
In this paper, we present a parallel computing technique, referred to as parallel positive Boolean function (PPBF), for supervised classification of multispectral images. The approach is based on the generalized positive Boolean function (GPBF) scheme, which has been successfully applied in multispectral image classification. The GPBF classifier is developed from a stack filter. The stack filter is...
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