Performance Analysis of Various EfficientNet-Based U-Net++ Architecture for Automatic Building Extraction from High Resolution Satellite Images
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 resolution
remote sensing imagery. Semantic information extraction gap constraints in the present
deep learning-based approaches, however, can result in inadequate segmentation
outcomes. To address this issue and extract buildings with high accuracy, various
EfficientNet backbone-based U-Net++ has been proposed in this study. The designed …
applications for building extraction heavily rely on semantic segmentation of high resolution
remote sensing imagery. Semantic information extraction gap constraints in the present
deep learning-based approaches, however, can result in inadequate segmentation
outcomes. To address this issue and extract buildings with high accuracy, various
EfficientNet backbone-based U-Net++ has been proposed in this study. The designed …
Performance Analysis of Various EfficientNet Based U-Net++ Architecture for Automatic Building Extraction from High Resolution Satellite Images
T Bashar Ovi, N Bashree, P Mukherjee… - arXiv e …, 2023 - ui.adsabs.harvard.edu
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-resolution
remote sensing imagery. Semantic information extraction gap constraints in the present
deep learning based approaches, however can result in inadequate segmentation
outcomes. To address this issue and extract buildings with high accuracy, various
efficientNet backbone based U-Net++ has been proposed in this study. The designed …
applications for building extraction heavily rely on semantic segmentation of high-resolution
remote sensing imagery. Semantic information extraction gap constraints in the present
deep learning based approaches, however can result in inadequate segmentation
outcomes. To address this issue and extract buildings with high accuracy, various
efficientNet backbone based U-Net++ has been proposed in this study. The designed …
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