Remote Sensing: Land Use Classification using Neural Gas

摘要

A hybrid classifier consisting of a Neural Gas quantization process of the entire image and a majority labeling process of the resulting codebook using the ground truth is shown. Besides equal performance to Maximum Likelihoot - the most widely used classifier n Remote Sensing - the presented classifier provides a quality measure of the ground truth, a desired feature in practical applications.