15 citations · 21 across the 4 of their papers we have counts for
4 papers
BD Open LULC Map: High-resolution land use land cover mapping & benchmarking for urban development in Dhaka, Bangladesh
Mir Sazzat Hossain, Ovi Paul, Md Akil Raihan Iftee +7
Land Use Land Cover (LULC) mapping using deep learning significantly enhances the reliability of LULC classification, aiding in understanding geography, socioeconomic conditions, p…
BD-SAT: High-resolution Land Use Land Cover Dataset & Benchmark Results for Developing Division: Dhaka, BD
Ovi Paul, Abu Bakar Siddik Nayem, Anis Sarker +3
Land Use Land Cover (LULC) analysis on satellite images using deep learning-based methods is significantly helpful in understanding the geography, socio-economic conditions, povert…
A Novel Disaster Image Dataset and Characteristics Analysis using Attention Model
Fahim Faisal Niloy, Arif, Abu Bakar Siddik Nayem +6
The advancement of deep learning technology has enabled us to develop systems that outperform any other classification technique. However, success of any empirical system depends o…
LULC Segmentation of RGB Satellite Image Using FCN-8
Abu Bakar Siddik Nayem, Anis Sarker, Ovi Paul +3
This work presents use of Fully Convolutional Network (FCN-8) for semantic segmentation of high-resolution RGB earth surface satel-lite images into land use land cover (LULC) categ…