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Detecting community structure in epidemics networks is crucial for the assessment of epidemic dynamics and effective control of disease spread by targeting at the individuals bridging communities. Common community detection models (e.g., cut-criteria and modularity-criteria based model) are efficient in optimal quality of network partitions. However, most of the approaches fail to consider the dynamic...
Crack inspection is one of the most important tasks for concrete bridge monitoring. Traditionally, human-based inspection systems using people's eyes are unsafe and costly. To overcome this problem, a novel unmanned aerial vehicle (UAV) based inspection system is developed to detect cracks on the lateral sides and underside of bridges. Applying obstacle avoidance modules, UAV can reach bridges' lateral...
Crack detection is crucial for maintaining the structural health and safety of concrete bridges. Previous studies mainly focus on the detection of thick and conspicuous cracks on bridge deck using high resolution images. However, it's difficult to obtain accurate crack detection results on the underside of bridges due to the fainter and thinner appearance and lower contrast of cracks to their background...
Coastline extraction with high accuracy from wide-swath synthetic aperture radar (SAR) imagery is still a challenging problem due to speckle, sea state condition, and land type. This letter presents a novel approach for coastline extraction from SAR images with complex scenarios and large geograp hical coverage, using the combination of modified K-means method and adaptive object-based region-merging...
In view of problems of low in contrast gradient and fuzzy in imaging quality, it proposed a wavelet fusion method. Wavelet transform, histogram equalization and non-linear operator are used to process synthetically fog-degraded Image based on the existent image enhancement method. Histogram equalization is processed fog-degraded image firstly, then wavelet transform is used to decompose the image,...
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