Matches in SemOpenAlex for { <https://semopenalex.org/work/W4304777512> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W4304777512 abstract "Hyperspectral remote sensing images have been shown to be particularly beneficial for detecting the types of materials in a scene due to their unique spectral properties. This paper proposes a novel semantic segmentation method for hyperspectral image (HSI), which is based on a new spatial-spectral filtering, called extended extrema morphological profiles (EEMPs). Firstly, principal component analysis (PCA) is used as the feature extractor to construct the feature maps by extracting the first informative feature from the hyperspectral image (HSI). Secondly, the extrema morphological profiles (EMPs) are used to extract the spatial-spectral feature from the informative feature maps to construct the EEMPs. Finally, support vector machine (SVM) is utilized to obtain accurate semantic segmentation from the EEMPs. In order to evaluate the semantic segmentation results, the proposed method is tested on a widely used hyperspectral dataset, i.e., Houston dataset, and four metrics, i.e., class accuracy (CA), overall accuracy (OA), average accuracy (AA), and Kappa coefficient, are used to quantitatively measure the segmentation accuracy. The experimental results demonstrate that EEMPs can efficiently achieve good semantic segmentation accuracy." @default.
- W4304777512 created "2022-10-13" @default.
- W4304777512 creator A5024545973 @default.
- W4304777512 creator A5030968272 @default.
- W4304777512 creator A5043982385 @default.
- W4304777512 creator A5047496004 @default.
- W4304777512 creator A5050933800 @default.
- W4304777512 date "2022-10-12" @default.
- W4304777512 modified "2023-10-18" @default.
- W4304777512 title "Hyperspectral remote sensing image semantic segmentation using extended extrema morphological profiles" @default.
- W4304777512 cites W2115451191 @default.
- W4304777512 cites W2127199143 @default.
- W4304777512 cites W2136625467 @default.
- W4304777512 cites W2151599207 @default.
- W4304777512 cites W2289326164 @default.
- W4304777512 cites W2331011752 @default.
- W4304777512 cites W2606929568 @default.
- W4304777512 cites W2768211636 @default.
- W4304777512 cites W2789438119 @default.
- W4304777512 cites W2807637736 @default.
- W4304777512 cites W2940702946 @default.
- W4304777512 cites W3020130933 @default.
- W4304777512 cites W4200169950 @default.
- W4304777512 doi "https://doi.org/10.1117/12.2643022" @default.
- W4304777512 hasPublicationYear "2022" @default.
- W4304777512 type Work @default.
- W4304777512 citedByCount "0" @default.
- W4304777512 crossrefType "proceedings-article" @default.
- W4304777512 hasAuthorship W4304777512A5024545973 @default.
- W4304777512 hasAuthorship W4304777512A5030968272 @default.
- W4304777512 hasAuthorship W4304777512A5043982385 @default.
- W4304777512 hasAuthorship W4304777512A5047496004 @default.
- W4304777512 hasAuthorship W4304777512A5050933800 @default.
- W4304777512 hasConcept C12267149 @default.
- W4304777512 hasConcept C124504099 @default.
- W4304777512 hasConcept C134306372 @default.
- W4304777512 hasConcept C138885662 @default.
- W4304777512 hasConcept C153180895 @default.
- W4304777512 hasConcept C154945302 @default.
- W4304777512 hasConcept C159078339 @default.
- W4304777512 hasConcept C186633575 @default.
- W4304777512 hasConcept C27438332 @default.
- W4304777512 hasConcept C2776401178 @default.
- W4304777512 hasConcept C33923547 @default.
- W4304777512 hasConcept C41008148 @default.
- W4304777512 hasConcept C41895202 @default.
- W4304777512 hasConcept C52622490 @default.
- W4304777512 hasConcept C89600930 @default.
- W4304777512 hasConceptScore W4304777512C12267149 @default.
- W4304777512 hasConceptScore W4304777512C124504099 @default.
- W4304777512 hasConceptScore W4304777512C134306372 @default.
- W4304777512 hasConceptScore W4304777512C138885662 @default.
- W4304777512 hasConceptScore W4304777512C153180895 @default.
- W4304777512 hasConceptScore W4304777512C154945302 @default.
- W4304777512 hasConceptScore W4304777512C159078339 @default.
- W4304777512 hasConceptScore W4304777512C186633575 @default.
- W4304777512 hasConceptScore W4304777512C27438332 @default.
- W4304777512 hasConceptScore W4304777512C2776401178 @default.
- W4304777512 hasConceptScore W4304777512C33923547 @default.
- W4304777512 hasConceptScore W4304777512C41008148 @default.
- W4304777512 hasConceptScore W4304777512C41895202 @default.
- W4304777512 hasConceptScore W4304777512C52622490 @default.
- W4304777512 hasConceptScore W4304777512C89600930 @default.
- W4304777512 hasLocation W43047775121 @default.
- W4304777512 hasOpenAccess W4304777512 @default.
- W4304777512 hasPrimaryLocation W43047775121 @default.
- W4304777512 hasRelatedWork W1585144779 @default.
- W4304777512 hasRelatedWork W2018257962 @default.
- W4304777512 hasRelatedWork W2134042231 @default.
- W4304777512 hasRelatedWork W2150085486 @default.
- W4304777512 hasRelatedWork W2331053949 @default.
- W4304777512 hasRelatedWork W3004377704 @default.
- W4304777512 hasRelatedWork W3081910372 @default.
- W4304777512 hasRelatedWork W3116511560 @default.
- W4304777512 hasRelatedWork W3154145980 @default.
- W4304777512 hasRelatedWork W3211035526 @default.
- W4304777512 isParatext "false" @default.
- W4304777512 isRetracted "false" @default.
- W4304777512 workType "article" @default.