5 citations · 5 across the 3 of their papers we have counts for
3 papers
Coarse-to-Fine Domain Incremental Learning with Attentive Distillation for Mining Footprint Segmentation in Multispectral Imagery
Alif Tri Handoyo, Vincent C. S. Lee, Rizka Widyarini Purwanto +3
Automatically mapping and segmenting global mining footprints using remote sensing and deep learning is critical for monitoring the socio-environmental risks and impacts of mining,…
Digital Elevation Model Estimation from RGB Satellite Imagery using Generative Deep Learning
Alif Ilham Madani, Riska A. Kuswati, Alex M. Lechner +1
Digital Elevation Models (DEMs) are vital datasets for geospatial applications such as hydrological modeling and environmental monitoring. However, conventional methods to generate…
Progressive Cross Attention Network for Flood Segmentation using Multispectral Satellite Imagery
Vicky Feliren, Fithrothul Khikmah, Irfan Dwiki Bhaswara +3
In recent years, the integration of deep learning techniques with remote sensing technology has revolutionized the way natural hazards, such as floods, are monitored and managed. H…