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Found 9 papers, 4 papers with code
Automated National Urban Map Extraction
Developing countries usually lack the proper governance means to generate and regularly update a national rooftop map.
Zero-Shot Refinement of Buildings' Segmentation Models using SAM
For this aim, we present a novel approach to adapt foundation models to address existing models' generalization dropback.
Extending CAM-based XAI methods for Remote Sensing Imagery Segmentation
This paper offers to bridge this gap by adapting the recent XAI classification algorithms and making them usable for muti-class image segmentation, where we mainly focus on buildings' segmentation from high-resolution satellite images.
Trainable Noise Model as an XAI evaluation method: application on Sobol for remote sensing image segmentation
To measure the performance of the Sobol method for segmentation, we propose a quantitative XAI evaluation method based on a learnable noise model.
Empirical Study of PEFT techniques for Winter Wheat Segmentation
This study seeks to bridge this gap by comprehensively exploring the feasibility of cross-area and cross-year out-of-distribution generalization using the State-of-the-Art (SOTA) wheat crop monitoring model.
Towards Explainable AI for Channel Estimation in Wireless Communications
This manuscript proposes a novel XAI-based channel estimation (XAI-CHEST) scheme that provides detailed reasonable interpretability of the deep learning (DL) models that are employed in doubly-selective channel estimation.
Buildings Classification using Very High Resolution Satellite Imagery
Buildings classification using satellite images is becoming more important for several applications such as damage assessment, resource allocation, and population estimation.
Lebanon Solar Rooftop Potential Assessment using Buildings Segmentation from Aerial Images
Factors such as size, ground coverage ratio and PV_out are carefully investigated for each district.
Sci-Net: Scale Invariant Model for Buildings Segmentation from Aerial Imagery
Buildings' segmentation is a fundamental task in the field of earth observation and aerial imagery analysis.
