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- W3132542190 abstract "Classifying different land cover types with hyperspectral image (HSI) is significant for restoring and protecting natural resources and maintaining ecological services in coastal wetlands. This paper proposes a multi-domain features fusion convolutional neural network (MDF-CNN) based classification method for hyperspectral images of coastal wetlands. This method adopts inter-class sparsity based discriminative least square regression (ICS_DLSR) to learn a more compact and discriminative transformation, as well as fuse the high-level features of the original domain and the regression domain to obtain higher classification accuracy. Experimental results demonstrate the effectiveness of the proposed method when compared with some recent classifiers. The MDF-CNN achieved state-of-the-art performance on two latest GF-5 HSI datasets of Coastal Wetland." @default.
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- W3132542190 date "2020-09-26" @default.
- W3132542190 modified "2023-10-16" @default.
- W3132542190 title "Convolutional Neural Network for Coastal Wetland Classification in Hyperspectral Image" @default.
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- W3132542190 doi "https://doi.org/10.1109/igarss39084.2020.9324383" @default.
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