计算机科学
过程(计算)
钥匙(锁)
GSM演进的增强数据速率
景观评价
数据科学
可视化
人工智能
人机交互
环境资源管理
景观设计
环境科学
计算机安全
操作系统
标识
DOI:10.1016/j.ecoinf.2023.102289
摘要
The assessment of visual landscape elements plays a crucial role in landscape change studies, aesthetic evaluation, and visual impact assessment. The proportions and statistical distributions of these elements are key factors that significantly influence these domains. Historically, the analysis has been performed manually, a process that is both labor intensive and time consuming, particularly when dealing with large assessment regions. To address this limitation, this study employs cutting-edge artificial intelligence technology to introduce an automated tool called LaDeco (Landscape Decoder). This tool enables researchers, planners, and evaluators to rapidly and objectively calculate the proportions of visual elements in images, thereby streamlining the assessment process.
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