Land Use and Land Cover Classification using a Human Group based Particle Swarm Optimization Algorithm with a LSTM classifier on hybrid-pre-processing Remote Sensing Images

4 Aug 2020T. KowsalyaS. L. UlloC. ZarroK. L. HemalathaB. D. Parameshachari

Land use and land cover (LULC) classification using remote sensing imagery plays a vital role in many environment modeling and land use inventories. In this study, a hybrid feature optimization algorithm along with a deep learning classifier is proposed to improve performance of LULC classification, helping to predict wildlife habitat, deteriorating environmental quality, haphazard, etc... (read more)

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