Research on classification method based on multi-scale segmentation and hierarchical classification

• Published in: Journal of physics. Conference series Vol. 2189; no. 1; pp. 12029 - 12036
• Main Authors: Zhang, Xiaohua, Wang, Hui, Xue, Wenxiang, Qin, Chaoyun, Wu, Yuping, Wang, Shuyuan, Qiu, Peng
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.02.2022
• Subjects: Classification; Corridors; Image classification; Image resolution; Image segmentation; Parallel processing; Physics; Transmission lines
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/2189/1/012029

Abstract This paper transmission line corridors covering area in Hebei north area as the research object to explore multi-scale segmentation threshold suitable for Hebei north image, found applicable to Hebei north region segmentation threshold rules. Main methods are the object-oriented multi-scale segmentation and hierarchical classification, using image segmentation principle, make full use of high resolution image rich features such as shape, texture, object relationships. It is used for the follow-up investigation of hidden danger of external damage of power transmission channel in northern Hebei region. The main conclusions of the experiment are as follows: 1. By comparing and analyzing the results of five groups of different thresholds (40, 50, 60, 70 and 80), it is concluded that the single threshold of the multi-scale segmentation method suitable for most mountainous images in the study area is 60, and this method can achieve high-precision ground object classification for images in northern Hebei region. 2. The ground feature cover classification method that is more suitable for the parallel processing of a large number of study areas is the object-oriented hierarchical classification method, and preliminary exploration results of detailed parameters have been achieved.