An Object-Based Markov Random Field with Partition-Global Alternately Updated for Semantic Segmentation of High Spatial Resolution Remote Sensing Image

The Markov random field (MRF) method is widely used in remote sensing image semantic segmentation because of its excellent spatial (relationship description) ability. However, there are some targets that are relatively small and sparsely distributed in the entire image, which makes it easy to miscla...

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Bibliographic Details
Main Authors: Hongtai Yao, Xianpei Wang, Le Zhao, Meng Tian, Zini Jian, Li Gong, Bowen Li
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/1/127