Automated classification of remote sensing satellite images using deep learning based vision transformer
Adekanmi Adeyinka Adegun(University of Roehampton), Jules‐Raymond Tapamo(University of KwaZulu-Natal), Serestina Viriri(University of KwaZulu-Natal)
Cited by 21
Related Papers
Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art
|Artificial Intelligence Review|2020|314
Deep Learning-Based System for Automatic Melanoma Detection
|IEEE Access|2019|221
FCN-Based DenseNet Framework for Automated Detection and Classification of Skin Lesions in Dermoscopy Images
|IEEE Access|2020|207
Review of deep learning methods for remote sensing satellite images classification: experimental survey and comparative analysis
|Journal Of Big Data|2023|184
Long Short-Term Memory Recurrent Neural Network for Automatic Speech Recognition
|IEEE Access|2022|181