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Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark
This study had two main aims:(1) to provide a comprehensive review of terrestrial laser
scanner (TLS) point cloud registration methods and a better understanding of their strengths …
scanner (TLS) point cloud registration methods and a better understanding of their strengths …
Overcoming the limits of cross-sensitivity: pattern recognition methods for chemiresistive gas sensor array
As information acquisition terminals for artificial olfaction, chemiresistive gas sensors are
often troubled by their cross-sensitivity, and reducing their cross-response to ambient gases …
often troubled by their cross-sensitivity, and reducing their cross-response to ambient gases …
Unsupervised K-means clustering algorithm
The k-means algorithm is generally the most known and used clustering method. There are
various extensions of k-means to be proposed in the literature. Although it is an …
various extensions of k-means to be proposed in the literature. Although it is an …
Tomato leaf disease identification by restructured deep residual dense network
C Zhou, S Zhou, J ** urban scenes. Spatial coordinates of 3-D …
Rapid prediction of urban flood based on disaster-breeding environment clustering and Bayesian optimized deep learning model in the coastal city
H Wang, S Xu, H Xu, Z Wu, T Wang, C Ma - Sustainable Cities and Society, 2023 - Elsevier
Rapid prediction of urban flood is essential for sustainable city and society development.
The data-driven deep learning model is commonly adopted for flood prediction, but it rarely …
The data-driven deep learning model is commonly adopted for flood prediction, but it rarely …
Graph convolutional subspace clustering: A robust subspace clustering framework for hyperspectral image
Hyperspectral image (HSI) clustering is a challenging task due to the high complexity of HSI
data. Subspace clustering has been proven to be powerful for exploiting the intrinsic …
data. Subspace clustering has been proven to be powerful for exploiting the intrinsic …