 Recent advances of deep convolutional neural networks have focused on the classification of very high-resolution aerial and satellite data. This study presents a detailed investigation of state-of-the-art deep learning tools for classification of complex wetland classes using multispectral rapid-ight optical imagery. This article was authored by Masood Mahdi Ampuri, Baram Salehi, Muhammad Razi, and others.