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Article
Block-sparse CNN: towards a fast and memory-efficient framework for convolutional neural networks
In this paper, we propose a block-sparse convolutional neural network (BSCNN) architecture that converts a dense convolution kernel into a sparse one. Traditional convolutional neural networks (CNNs) face the ...
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Article
Adaptive contourlet-wavelet iterative shrinkage/thresholding for remote sensing image restoration
In this paper, we present an adaptive two-step contourlet-wavelet iterative shrinkage/thresholding (TcwIST) algorithm for remote sensing image restoration. This algorithm can be used to deal with various linea...
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Article
Robust Semi-supervised Kernel-FCM Algorithm Incorporating Local Spatial Information for Remote Sensing Image Classification
Fuzzy c-means (FCM) algorithm is a popular method in image segmentation and image classification. However, the traditional FCM algorithm cannot achieve satisfactory classification results because remote sensin...