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2025, 06, v.41 626-632
基于VGG-16特征提取模型的多地形要素相似区域推荐
基金项目(Foundation): 智能空间信息国家级重点实验室基金项目(SYS-ZX06-2024-01)
邮箱(Email): youarexiong@163.com;
DOI:
发布时间: 2025-12-15
出版时间: 2025-12-15
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摘要:

推荐与研究区地形要素相似的区域可以为地质灾害防治、工业园区选址、山区线路规划等工作提供有价值的参考。综合考虑多种地形要素,提出基于VGG-16特征提取模型的相似区域推荐方法。首先,采用直方图统计方法统计样本数据集中各地形要素的特征,并基于数据集中各地形要素的特征对样本数据进行K-means聚类;其次,将聚类结果作为数据集标签,在分类任务上对VGG-16模型进行训练,构建地形要素提取模型;最后,利用训练的VGG-16模型提取区域特征,采用余弦距离计算区域相似度,从而根据相似度推荐相似区域。为验证推荐区域的准确性,采用综合评估模型计算区域之间直方图统计特征的相似度。结果表明,构建的方法能够快速高效地为研究区提供地形要素最相似的区域,为相关研究提供有力的支持。

Abstract:

It can provide valuable references for geological hazard prevention, industrial park site selection, and mountainous route planning to recommend regions with similar terrain features to the research area. A similar region recommendation method based on the VGG-16 feature extraction model is proposed based on the comprehensive consideration of various terrain features. Firstly, a histogram statistical method was used to collect the features of each terrain feature in the sample data set, and K-means clustering was carried out based on these features. Secondly, the VGG-16 model was trained on the classification task by using the clustering results as the data set label to construct the terrain feature extraction model. Finally, the trained VGG-16 model was used to extract the regional features to calculate the regional similarity based on cosine distance, and the similar region was recommended according to the similarity. To verify the accuracy of the recommended regions, a comprehensive evaluation model was used to calculate the similarity of histogram statistical features between regions. The results indicate that the proposed method can provide the region with the most similar terrain features quickly and efficiently, offering robust support for related research.

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基本信息:

中图分类号:P208;P217

引用信息:

[1]苗保亮,张欣,蒋秉川,等.基于VGG-16特征提取模型的多地形要素相似区域推荐[J].测绘科学技术学报,2025,41(06):626-632.

基金信息:

智能空间信息国家级重点实验室基金项目(SYS-ZX06-2024-01)

发布时间:

2025-12-15

出版时间:

2025-12-15

引用

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