Dec 29, 2021 · In this article, we propose a WSSS method for building extraction from HRSI using image-level labels. The proposed method, termed as the MSG-SR- ...
The proposed method, termed as the MSG-SR-Net, integrates two novel modules, i.e., multi-scale generation (MSG) and super-pixel refinement (SR), to obtain high- ...
With the aforementioned considerations in mind, in this paper, we propose a weakly supervised method for building extraction from HRSI using image-level labels.
Missing: Multiscale | Show results with:Multiscale
MSG-SR-Net: A Weakly Supervised Network Integrating Multiscale Generation and Superpixel Refinement for Building Extraction From High-Resolution Remotely ...
Feb 6, 2024 · ... Network Integrating Multi-Scale Generation and Super-Pixel Refinement for Building Extraction from High-Resolution Remotely Sensed Imageries.
Missing: Multiscale | Show results with:Multiscale
Weakly supervised semantic segmentation (WSSS) methods based on image-level labels can relieve the tedious pixel-level annotation burden, and these methods are ...
MSG-SR-Net: A Weakly Supervised Network Integrating Multi-Scale Generation and Super-Pixel Refinement for Building Extraction from High-Resolution Remotely ...
Missing: Multiscale | Show results with:Multiscale
A database of over 500 published papers on Earth Observation with Remote Sensing data using Non-Supervised Deep Learning techniques, classified by their ...
Mar 21, 2024 · ... Multiscale Generation and Superpixel Refinement for Building Extraction From High-Resolution Remotely Sensed Imageries. Xin Yan, Li Shen ...
This section presents a comprehensive overview of the most recent deep learning methods for building extraction from high-resolution remote sensing images. With ...