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Convolutional neural network (CNN) is well known for its capability of feature learning and has made revolutionary achievements in many applications, such as scene recognition and target detection. In this paper, its capability of feature learning in hyperspectral images is explored by constructing a five-layer CNN for classification (C-CNN). The proposed C-CNN is constructed by including recent advances...
In order to advance measuring accuracy of structured light system, optimization analysis is discussed in the paper. The analysis are based on structural parameters on measuring precision. Those analysis are to guide optimization design for structured light system, and it can lay the foundation for a wide range of its applications. Quantitative result shows that this optimization analysis can help...
Currently, vehicles are equipped with forward facing cameras to assist the forensic investigations of events by proactive image capturing from streets and roads. With content redundancy and storage imbalance in this in-network distributed storage system, how to maximize its storage capacity is a challenge. In other words, how to maximize the average lifetime of sensory data (i.e. images generated...
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