Research on classification method based on multi-scale segmentation and hierarchical classification
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...
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Published in | Journal of physics. Conference series Vol. 2189; no. 1; pp. 12029 - 12036 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Bristol
IOP Publishing
01.02.2022
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Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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ISSN: | 1742-6588 1742-6596 |
DOI: | 10.1088/1742-6596/2189/1/012029 |