Automatic Monitoring Area Delineation Method Based on Multi-Source Data Fusion and Self-Calibration
Author:
Affiliation:
1. State Grid Zhejiang Electric Power Co., Ltd. Jiaxing Power Supply Company,Jiaxing,China
2. Bochuang Materials Branch of Jiaxing HENGCHUANG Power Group Co., Ltd.,Jiaxing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10256676/10257667/10257871.pdf?arnumber=10257871
Reference15 articles.
1. Point Cloud Data Reduction Algorithm Based on SIFT3D Features;haiyun;Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV 2021),2021
2. An Automatic Self-Calibration Method for High-Resolution Optical Camera Based on Super-Resolution Convolutional Neural Networks;guo;IEEE Transactions on Geoscience and Remote Sensing,2022
3. Deep closest point: Learning representations for point cloud registration;yue;Proceedings of the IEEE/CVF International Conference on Computer Vision,0
4. Conceptual and empirical comparison of dimensionality reduction algorithms (pca, kpca, 1da, mds, svd, lle, isomap, le, ica, t-sne);farzana;Computer Science Review,2021
5. OCO-2 Solar-Induced Chlorophyll Fluorescence Variability across Ecoregions of the Amazon Basin and the Extreme Drought Effects of El Niño (2015–2016)
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