Matches in SemOpenAlex for { <https://semopenalex.org/work/W4366504003> ?p ?o ?g. }
- W4366504003 endingPage "10" @default.
- W4366504003 startingPage "1" @default.
- W4366504003 abstract "With the improvement of imaging equipment, hyperspectral underwater target detection (HUTD) has raised much interest in recent years. The existing HUTD methods do not fully utilize spectral characteristics and need prior information about targets. Besides, the detection performance lacks verification in natural scenarios. In this paper, the authors propose a Feature Bands based Unsupervised underwater target Detection method (FBUD), which aims at finding the optimal feature bands to identify the underwater target near the coastline. Specifically, the normalized difference water index (NDWI) and unmixing technique are adopted to find the target and background pixels. Then, the spectral difference between the target and background is used to find the feature bands. With a simple and fast math operation of the feature bands, the probability map of the underwater target can be easily obtained. Besides, a new unmanned aerial vehicle (UAV)-borne hyperspectral image dataset named HNU-UTD is built for underwater target detection in real-world scenes. Experimental results obtained with the HNU-UTD dataset confirm the accuracy and effectiveness of the proposed detection method, which even outperforms supervised detection methods." @default.
- W4366504003 created "2023-04-22" @default.
- W4366504003 creator A5011401698 @default.
- W4366504003 creator A5052508908 @default.
- W4366504003 creator A5057514965 @default.
- W4366504003 creator A5067097659 @default.
- W4366504003 creator A5090896714 @default.
- W4366504003 date "2023-01-01" @default.
- W4366504003 modified "2023-10-14" @default.
- W4366504003 title "Feature-Band-Based Unsupervised Hyperspectral Underwater Target Detection Near the Coastline" @default.
- W4366504003 cites W1899348529 @default.
- W4366504003 cites W1991517407 @default.
- W4366504003 cites W2003658579 @default.
- W4366504003 cites W2020953322 @default.
- W4366504003 cites W2028740150 @default.
- W4366504003 cites W2037143195 @default.
- W4366504003 cites W2077509829 @default.
- W4366504003 cites W2114486983 @default.
- W4366504003 cites W2115366158 @default.
- W4366504003 cites W2117741752 @default.
- W4366504003 cites W2125188192 @default.
- W4366504003 cites W2125341398 @default.
- W4366504003 cites W2127495569 @default.
- W4366504003 cites W2133059825 @default.
- W4366504003 cites W2144158572 @default.
- W4366504003 cites W2146954653 @default.
- W4366504003 cites W2154236340 @default.
- W4366504003 cites W2163957348 @default.
- W4366504003 cites W2507855991 @default.
- W4366504003 cites W2760789773 @default.
- W4366504003 cites W2810804279 @default.
- W4366504003 cites W2945493762 @default.
- W4366504003 cites W2982545969 @default.
- W4366504003 cites W2990709406 @default.
- W4366504003 cites W3007098358 @default.
- W4366504003 cites W3013131247 @default.
- W4366504003 cites W3015543858 @default.
- W4366504003 cites W3021150190 @default.
- W4366504003 cites W3022592629 @default.
- W4366504003 cites W3023089620 @default.
- W4366504003 cites W3027521166 @default.
- W4366504003 cites W3031015423 @default.
- W4366504003 cites W3045657924 @default.
- W4366504003 cites W3097141235 @default.
- W4366504003 cites W3100364246 @default.
- W4366504003 cites W3145563206 @default.
- W4366504003 cites W3157637780 @default.
- W4366504003 cites W3159459366 @default.
- W4366504003 cites W3159815144 @default.
- W4366504003 cites W3162634104 @default.
- W4366504003 cites W3172610471 @default.
- W4366504003 cites W3177111766 @default.
- W4366504003 cites W3201734132 @default.
- W4366504003 cites W4225582357 @default.
- W4366504003 cites W4225688999 @default.
- W4366504003 cites W4233760599 @default.
- W4366504003 cites W625476304 @default.
- W4366504003 doi "https://doi.org/10.1109/tgrs.2023.3268299" @default.
- W4366504003 hasPublicationYear "2023" @default.
- W4366504003 type Work @default.
- W4366504003 citedByCount "1" @default.
- W4366504003 crossrefType "journal-article" @default.
- W4366504003 hasAuthorship W4366504003A5011401698 @default.
- W4366504003 hasAuthorship W4366504003A5052508908 @default.
- W4366504003 hasAuthorship W4366504003A5057514965 @default.
- W4366504003 hasAuthorship W4366504003A5067097659 @default.
- W4366504003 hasAuthorship W4366504003A5090896714 @default.
- W4366504003 hasConcept C111368507 @default.
- W4366504003 hasConcept C114700698 @default.
- W4366504003 hasConcept C127313418 @default.
- W4366504003 hasConcept C138885662 @default.
- W4366504003 hasConcept C153180895 @default.
- W4366504003 hasConcept C154945302 @default.
- W4366504003 hasConcept C159078339 @default.
- W4366504003 hasConcept C160633673 @default.
- W4366504003 hasConcept C2776151529 @default.
- W4366504003 hasConcept C2776401178 @default.
- W4366504003 hasConcept C31972630 @default.
- W4366504003 hasConcept C41008148 @default.
- W4366504003 hasConcept C41895202 @default.
- W4366504003 hasConcept C52622490 @default.
- W4366504003 hasConcept C62649853 @default.
- W4366504003 hasConcept C98083399 @default.
- W4366504003 hasConceptScore W4366504003C111368507 @default.
- W4366504003 hasConceptScore W4366504003C114700698 @default.
- W4366504003 hasConceptScore W4366504003C127313418 @default.
- W4366504003 hasConceptScore W4366504003C138885662 @default.
- W4366504003 hasConceptScore W4366504003C153180895 @default.
- W4366504003 hasConceptScore W4366504003C154945302 @default.
- W4366504003 hasConceptScore W4366504003C159078339 @default.
- W4366504003 hasConceptScore W4366504003C160633673 @default.
- W4366504003 hasConceptScore W4366504003C2776151529 @default.
- W4366504003 hasConceptScore W4366504003C2776401178 @default.
- W4366504003 hasConceptScore W4366504003C31972630 @default.
- W4366504003 hasConceptScore W4366504003C41008148 @default.
- W4366504003 hasConceptScore W4366504003C41895202 @default.
- W4366504003 hasConceptScore W4366504003C52622490 @default.
- W4366504003 hasConceptScore W4366504003C62649853 @default.