Automatic Spectral Representation With Improved Stacked Spectral Feature Space Patch (ISSFSP) for CNN-Based Hyperspectral Image Classification
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DOI: 10.1109/tgrs.2022.3210438
Abstract: Hyperspectral imaging (HSI) effectively supports land cover (LC) classification in understanding nature–human interactions. The LC classification quality depends heavily on the input features. Combining convolutional neural network (CNN) and stacked spectral feature space patch (SSFSP)… read more here.
Keywords: spectral feature; classification; cnn; feature space ... See more keywords