Self-attention-based approaches that leverage global context information for hyperspectral image (HSI) classification have gained increasing prominence. Nevertheless, due to the assignment of ...

Cross-range scaling can transform range-Doppler imaging results of targets into range Cross-range images, which is beneficial to accurate size estimation and feature extraction of targets. Accurate ...

However, the existing GCN-based classification methods do not fully utilize the edge relationship, which makes their performance is limited. In addition, a small number of training samples is also a ...

Indian mangoes have a wide variety. Mango is one of the key agricultural crops in India. To meet the quality standards of the international market, a classification model is designed using Random ...

Deep active learning (DeepAL) extends supervised deep learning to human-machine interactive scenarios with limited annotation budgets. Most existing DeepAL approaches for visual recognition fail to ...

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With the rise in labor costs and the growing impact of human factors on errors, intelligent inspection equipment is gaining increasing popularity. However, most existing inspection systems for small ...

In an increasingly complex network environment, accurately and effectively identifying abnormal network traffic has become a key challenge in ensuring network security. Traditional manual detection ...

To address the shortcomings of classical chaotic time series in image encryption algorithms in terms of low complexity, fewer control parameters, and limited range of value domains, this paper ...

Urban vegetation classification is challenging due to the heterogeneous nature of urban environments. Accurate mapping of urban vegetation, which plays a crucial role in regulating microclimates, ...

To address the challenges of false positives and false negatives in prohibited item detection within X-ray security images, caused by complex backgrounds, poor image quality, and varying scales, this ...

Research on biomedical image processing proliferates specifically in brain image segmentation. Cerebral disorders often present with the formation of tumors and necrotic tissues which require accurate ...