Перегляд за Автор "Yu Fei"

Зараз показуємо 1 - 1 з 1
  • Ескіз
    Документ
    Information Technology for Optimization of High-Resolution Remote Sensing Image Semantic Segmentation Based on Self-Attention Mechanism
    (Одеський національний університет імені І. І. Мечникова, 2024) Юй Фей; Yu Fei
    This study explores detail optimization for semantic segmentation of remote sensing images with high-resolution, emphasizing the use of self-attention mechanism to alleviate detail loss and improve segmentation accuracy and robustness. of segmentations. In this paper, the principle of the self-attention mechanism is explored, an innovative semantic segmentation model is designed and implemented, and its effectiveness is verified by experiments, all of which could provide theoretical guidance and practical support for technological development. In the experimental section, the proposed method was applied to several datasets: PASCAL VOC, Cityscapes, and COCO. The results showed that the selfattention mechanism based improved model had better performance in image segmentation tasks. Especially, on the Cityscapes dataset, the mAP reached 90.2%, which attests to the effectiveness of the approach in handling urban scenes. Besides, an evaluation of various loss functions revealed that hybrid loss functions consistently outperformed others in enhancing object detection performance. These achievements not only enhanced the precision of semantic segmentation for remote sensing images with high-resolution but also strengthened the model's adaptability to complex scenarios.