作者
Li Ma, Andong Ma, Cai Ju, Xingmei Li
发表日期
2016/11/1
期刊
pattern recognition letters
卷号
83
页码范围
133-142
出版商
North-Holland
简介
Highlights
- Spatial information is incorporated in the graph based SSL method.
- Sum of minimum distance is introduced as spatial based similarity measurement.
- Local manifold learning based edge weighting method is employed.
- Spatial regularizer is utilized in graph based SSL.
- The proposed method is superior to several spectral and spatial based SSL methods.
Spectral and spatial regularized semi-supervised learning is investigated for classification of hyperspectral images. In spectral regularizer, sum of minimum distance (SMD) is introduced to determine graph adjacency relationships and local manifold learning (LML) is employed for edge weighting. The resulted SMD_LML regularizer is able to constrain the prediction vectors to preserve the local geometry of each neighborhood. In spatial regularizer, spatial neighbors with similar spectra are enforced to have similar predictions. The two regularizers capture …
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L Ma, A Ma, C Ju, X Li - pattern recognition letters, 2016