25 citations · 28 across the 7 of their papers we have counts for
7 papers · 1 filter
A Decade of Wheat Mapping for Lebanon
Hasan Wehbi, Hasan Nasrallah, Mohamad Hasan Zahweh +3
Wheat accounts for approximately 20% of the world's caloric intake, making it a vital component of global food security. Given this importance, mapping wheat fields plays a crucial…
Efficient Adaptation For Remote Sensing Visual Grounding
Hasan Moughnieh, Mohamad Chalhoub, Hasan Nasrallah +4
Adapting pre-trained models has become an effective strategy in artificial intelligence, offering a scalable and efficient alternative to training models from scratch. In the conte…
Automated National Urban Map Extraction
Hasan Nasrallah, Abed Ellatif Samhat, Cristiano Nattero +1
Developing countries usually lack the proper governance means to generate and regularly update a national rooftop map. Using traditional photogrammetry and surveying methods to pro…
Empirical Study of PEFT techniques for Winter Wheat Segmentation
Mohamad Hasan Zahweh, Hasan Nasrallah, Mustafa Shukor +2
Parameter Efficient Fine Tuning (PEFT) techniques have recently experienced significant growth and have been extensively employed to adapt large vision and language models to vario…
Zero-Shot Refinement of Buildings' Segmentation Models using SAM
Ali Mayladan, Hasan Nasrallah, Hasan Moughnieh +2
Foundation models have excelled in various tasks but are often evaluated on general benchmarks. The adaptation of these models for specific domains, such as remote sensing imagery,…
Lebanon Solar Rooftop Potential Assessment using Buildings Segmentation from Aerial Images
Hasan Nasrallah, Abed Ellatif Samhat, Yilei Shi +3
Estimating solar rooftop potential at a national level is a fundamental building block for every country to utilize solar power efficiently. Solar rooftop potential assessment reli…
Sci-Net: Scale Invariant Model for Buildings Segmentation from Aerial Imagery
Hasan Nasrallah, Mustafa Shukor, Ali J. Ghandour
Buildings' segmentation is a fundamental task in the field of earth observation and aerial imagery analysis. Most existing deep learning-based methods in the literature can be appl…