A Quality Evaluation Method of UAV Inspection Images Based on Semantic Segmentation
Author:
Affiliation:
1. State Grid Fujian Electric Power Research Institute,Fuzhou,China,350007
2. Queen's University,Faculty of Arts and Science,Kingston,ON,Canada,K7L 3N6
3. Construction Branch of State Grid Fujian Electric Power Co., Ltd,Fuzhou,China,350013
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10291176/10291182/10291877.pdf?arnumber=10291877
Reference6 articles.
1. A Novel Reduced Reference Image Quality Assessment Based on Formal Concept Analysis;muath;Comput J,2022
2. A high compatibility finger vein image quality assessment system based on deep learning
3. No-Reference Image Quality Assessment Based on Multi-Order Gradients Statistics
4. ASSP: An adaptive sample statistics-based pooling for full-reference image quality assessment
5. Data analysis in visual power line inspection: An in-depth review of deep learning for component detection and fault diagnosis
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