Hybridizing Deep Neural Networks and Machine Learning Models for Aerial Satellite Forest Image Segmentation
Clopas Kwenda,
Mandlenkosi Gwetu,
Jean Vincent Fonou-Dombeu
Abstract:Forests play a pivotal role in mitigating climate change as well as contributing to the socio-economic activities of many countries. Therefore, it is of paramount importance to monitor forest cover. Traditional machine learning classifiers for segmenting images lack the ability to extract features such as the spatial relationship between pixels and texture, resulting in subpar segmentation results when used alone. To address this limitation, this study proposed a novel hybrid approach that combines deep neural… Show more
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