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基于改进SIFT算法及定位信息的建筑物识别系统
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Abstract:
为了解决小范围、图像数据较少区域内传统建筑物识别系统精度偏低的问题，本文提出一种基于改进SIFT算法与GPS定位信息相结合的建筑物识别系统，并在系统中加入对建筑物存在可能性预测的预处理机制，进一步提高准确性和快速性。实验验证结果表明，该方法为可行有效的且实际效果良好。
In order to solve the general problem, that is, the accurate recognition rate is low in a small extent or when the image resources are few and scattered. This article puts forward a building recognition system that combines GPS positioning information with an improved SIFT algorithm, and adds a pretreatment mechanism for predicting the possibility of the presence of the building in the system, further reducing mismatches and improving response speed. Final verification shows that this research is actually effective.
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https://doi.org/10.1016/j.robot.2021.103776 |
