2019 VOL.2 Aug No.4

• Title: Research on Target Detection Method of High Resolution Remote Sensing Image Based on Machine Learning
• Name: Haonan An, Ming Zhao, Ying Zhu
• Company: School of Information Engineering, Shanghai Maritime University
• Abstract:

  In the high-resolution remote sensing image target detection, due to the combined effects of various factors such as illumination, cloud, complex environment and noise, the current target detection method has the problems of slow speed and low accuracy. Based on this, a high-resolution remote sensing image target detection method based on machine learning is proposed. The main links include multi-granularity scanning, feature extraction, data expansion and pre-processing, and target detection. According to the comparison of experimental results, it can be seen that the high-resolution remote sensing image target detection method based on machine learning has great advantages in detection accuracy, basically more than 90%, and the detection results are stable. Compared with the traditional method, it has greater effectiveness.

• Keyword: Machine Learning; High Resolution; Remote Sensing Image; Target Detection;
• DOI: 10.12250/jpciams2019040113
• Citation form: Haonan An, Ming Zhao, Ying Zhu.Research on Target Detection Method of High Resolution Remote Sensing Image Based on Machine Learning[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 97-100.

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