从1990年到2020年,在中国的潘市进行城市扩张识别和变化分析
Zhai Jiang1, Jing Li2, Xingguang Yan3
1School of Mapping and Geographical Science, Liaoning Technical University, Fuxin, 123000, People's Republic of China. zhaijiang_a@163.com.
Scientific reports
|December 2, 2025
概括
这项研究利用深度学习绘制了不透的表面变化地图,以优化城市结构. 调查结果显示,城市扩张显著,发展模式不断变化,突显了可持续发展需要战略性土地利用规划的必要性.
科学领域:
- 城市地理 城市地理
- 遥感是一种远程传感.
- 可持续的发展 可持续的发展
背景情况:
- 城市扩张对空间结构和可持续发展产生重大影响.
- 对不透气表面的动态绘制对于理解城市增长至关重要.
- 优化城市空间结构需要准确的土地覆盖变化分析.
研究的目的:
- 为了优化城市空间结构,动态地绘制不透的表面变化.
- 通过改善城市规划洞察力,促进可持续发展.
- 分析与板津市城市扩张有关的时间和空间形态变化.
主要方法:
- 利用一种新的深度学习模型,以基于像素的土地覆盖面变化轨迹识别.
- 采用时间-光谱-纹理组合优化方法进行准确的分类.
- 应用了一种逐步线性回归模型来确定城市扩张时间节点.
主要成果:
- 实现了93.10%的轨迹分类准确度和92.44%的宏观F1分数.
- 识别了城市扩张时间节点,准确度为84.24%.
- 观察到板津市的建筑面积增长了56.51% (1990-2020年),并且在2016年之后转向填充发展模式.
结论:
- 开发的方法准确地绘制了不透气的表面动态和城市扩张.
- 调查结果强调了战略城市规划对于高效的土地利用和可持续性的必要性.
- 结果为以资源为基础的城市的城市扩张绘制提供了宝贵的见解.
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