A CNN-Based Spatial Feature Fusion Algorithm for Hyperspectral Imagery Classification
نویسندگان
چکیده
منابع مشابه
A CNN-based Spatial Feature Fusion Algorithm for Hyperspectral Imagery Classification
The shortage of training samples remains one of the main obstacles in applying the artificial neural networks (ANN) to the hyperspectral images classification. To fuse the spatial and spectral information, pixel patches are often utilized to train a model, which may further aggregate this problem. In the existing works, an ANN model supervised by center-loss (ANNC) was introduced. Training mere...
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Integrating spectral and spatial information is proved effective in improving the accuracy of hyperspectral imagery classification. In recent studies, two kinds of approaches are widely investigated: (1) developing a multiple feature fusion (MFF) strategy; and (2) designing a powerful spectral-spatial feature extraction (FE) algorithm. In this paper, we combine the advantages of MFF and FE, and...
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ژورنال
عنوان ژورنال: IEEE Transactions on Geoscience and Remote Sensing
سال: 2019
ISSN: 0196-2892,1558-0644
DOI: 10.1109/tgrs.2019.2911993