Pixel-Level Fatigue Crack Segmentation in Large-Scale Images of Steel Structures Using an Encoder-Decoder Network.
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| Title: | Pixel-Level Fatigue Crack Segmentation in Large-Scale Images of Steel Structures Using an Encoder-Decoder Network. |
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| Authors: | Dong C; Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL 32816, USA., Li L; Department of Computer Science, University of Central Florida, Orlando, FL 32816, USA., Yan J; Palo Alto Research Center, Palo Alto, CA 94304, USA., Zhang Z; School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ 85281, USA., Pan H; Department of Civil and Environmental Engineering, North Dakota State University, Fargo, ND 58105, USA., Catbas FN; Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL 32816, USA. |
| Source: | Sensors (Basel, Switzerland) [Sensors (Basel)] 2021 Jun 16; Vol. 21 (12). Date of Electronic Publication: 2021 Jun 16. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1424-8220 |
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| DOI: | 10.3390/s21124135 |
