Remote Sensing Image Fusion Using Hierarchical Multimodal Probabilistic Latent Semantic Analysis.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing(2018)

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摘要
The generative semantic nature of probabilistic topic models has recently shown encouraging results within the remote sensing image fusion field when conducting land cover categorization. However, standard topic models have not yet been adapted to the inherent complexity of remotely sensed data, which eventually may limit their resulting performance. In this scenario, this paper presents a new top...
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关键词
Synthetic aperture radar,Data models,Remote sensing,Semantics,Image fusion,Probabilistic logic,Adaptation models
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