基于 Bag-of-Words 关联映射方法的远程传感图像的语义检索
Jingwen Li1,2, Yanting Cai1, Xu Gong1
1College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China.
Sensors (Basel, Switzerland)
|July 14, 2023
概括
我们开发了一种新的词包关联映射方法,用于高效和可解释的遥感图像检索. 与现有的深度学习模型相比,这种方法显著提高了检索准确性.
科学领域:
- 计算机科学 计算机科学
- 遥感 遥感 遥感 遥感
- 人工智能的人工智能
背景情况:
- 对于高效的遥感图像检索的需求正在增长.
- 现有的方法缺乏效率,准确性和可解释性.
- 从大型数据集中提取特定图像是具有挑战性的.
研究的目的:
- 提出一种用于遥感图像检索的新方法.
- 为了提高图像检索的效率,准确性和可解释性.
- 建立用于遥感图像的语义导出过程.
主要方法:
- 开发了一种词包关联映射方法.
- 视觉特征词包被用来将低级特征与高级语义联系起来.
- 一个改进的FP-Growth算法构建了关联规则.
- 实施了反机制,以完善检索准确度.
主要成果:
- 拟议的方法实现了高平均准确率:87.5%的AID和90.8%的NWPU-RESISC45.
- 精度的提高是显著的:比VGG16.5分别提高了22.5%和20.3%.
- 与ResNet18相比,还注意到了进一步的改善,分别为17.6%和15.6%.
结论:
- 词袋关联映射方法对于远程传感图像检索是有效的.
- 该方法提供了更好的准确性和可解释性.
- 这种方法解决了以前的检索技术的局限性.
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