High-resolution Remote Sensing Image Segmentation Using Minimum Spanning Tree Tessellation and RHMRF-FCM Algorithm
It is proposed a high resolution remote sensing image segmentation method which combines static minimum spanning tree (MST) tessellation considering shape information and the RHMRF-FCM algorithm. It solves the problems in the traditional pixel-based HMRF-FCM algorithm in which poor noise resistance...
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| Format: | Article |
| Language: | English |
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Surveying and Mapping Press
2020-03-01
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| Series: | Journal of Geodesy and Geoinformation Science |
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| Online Access: | http://jggs.sinomaps.com/fileup/2096-5990/PDF/20200106.pdf |