2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 2 cited
DeepTriNet: A Tri-Level Attention Based DeepLabv3+ Architecture for Semantic Segmentation of Satellite Images
Tareque Bashar Ovi, Shakil Mosharrof, Nomaiya Bashree +2
The segmentation of satellite images is crucial in remote sensing applications. Existing methods face challenges in recognizing small-scale objects in satellite images for semantic…
cs.CV2023
Performance Analysis of Various EfficientNet Based U-Net++ Architecture for Automatic Building Extraction from High Resolution Satellite Images
Tareque Bashar Ovi, Nomaiya Bashree, Protik Mukherjee +2
Building extraction is an essential component of study in the science of remote sensing, and applications for building extraction heavily rely on semantic segmentation of high-reso…