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cs.CV2026
Remote sensing data imputation using deep learning for multispectral imagery
Shuang Liu, Fiona Johnson, Rohitash Chandra
Remote sensing techniques have been increasingly utilised in aquatic applications in recent years. A common challenge in using optical satellite data is the presence of missing obs…
cs.CV2025
Landcover classification and change detection using remote sensing and machine learning: a case study of Western Fiji
Yadvendra Gurjar, Ruoni Wan, Ehsan Farahbakhsh +1
As a developing country, Fiji is facing rapid urbanisation, which is visible in the massive development projects that include housing, roads, and civil works. In this study, we pre…
cs.CV2025
Convolutional neural networks for mineral prospecting through alteration mapping with remote sensing data
Ehsan Farahbakhsh, Dakshi Goel, Dhiraj Pimparkar +2
Traditional geological mapping, based on field observations and rock sample analysis, is inefficient for continuous spatial mapping of features like alteration zones. Deep learning…