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Updated: Jan 17, 2026

Photorealistic Learned Landscapes for Augmented Reality
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一个修改的视觉转换器框架用于农村建筑设计和规划中的基于图像的土地覆盖面细分

Sobia Wassan1, Anas Bilal2, Abdulkareem Alzahrani3

  • 1School of Equipment Engineering, Jiangsu Urban and Rural Construction Vocational College, Changzhou, 213000, China.

Scientific reports
|September 23, 2025
PubMed
概括

本研究引入了一个深度学习模型,用于农村土地覆盖的细分,增强可持续发展和规划. 优化的视觉变压器达到99.5%的准确性,优于现有的农村城市化方法.

关键词:
欧洲卫星卫星数据集EuroSAT数据集图像细分和处理 图像细分和处理修改过的火虫算法修改视觉变压器 修改视觉变压器蒙特卡洛模拟的蒙特卡洛模拟

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