Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312791978> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W4312791978 abstract "Hyperspectral image analysis techniques have advanced considerably in the past decade, resulting in specialized hyperspectral applications. Because the spectral dimension of hyperspectral cubes is very broad, preserving a large number of these is a challenging task. To address this challenge, various compression methods have been employed over the past decades. Dimensional reduction methods are the most straightforward for compressing hyperspectral images, however, a significant amount of processing power is required for reasonable performance, which is reflected in long run-duration and high costs. In this work, a new method of dimensionality reduction compression based on a principal component analysis (PCA) algorithm is presented. The spectral dimension was reduced by thresholding principal components (PCs), while the spatial dimensions were reduced by average pooling/max pooling close groups of pixels. The proposed method was compared to three common dimensional reduction methods and tested on a database of 60 hyperspectral cubes. In terms of compression time to PSNR, the proposed method outperformed the other methods. The evaluation results indicate that the proposed method optimizes the tradeoff between compression performance and low complexity to obtain maximum performance with minimal runtime." @default.
- W4312791978 created "2023-01-05" @default.
- W4312791978 creator A5001846977 @default.
- W4312791978 creator A5028834945 @default.
- W4312791978 creator A5048483940 @default.
- W4312791978 creator A5075030067 @default.
- W4312791978 date "2022-09-13" @default.
- W4312791978 modified "2023-09-27" @default.
- W4312791978 title "Hyper-Spectral Image Compression By Joint Spatial Spectral Dimension Reduction Using Thresholded Principal Component Analysis" @default.
- W4312791978 cites W1985177823 @default.
- W4312791978 cites W2102544846 @default.
- W4312791978 cites W2110005684 @default.
- W4312791978 cites W2123038108 @default.
- W4312791978 cites W2127295759 @default.
- W4312791978 cites W2164525883 @default.
- W4312791978 cites W2170407643 @default.
- W4312791978 cites W2466665546 @default.
- W4312791978 cites W2765366036 @default.
- W4312791978 cites W2767357182 @default.
- W4312791978 cites W2807355972 @default.
- W4312791978 cites W2910027896 @default.
- W4312791978 cites W3090326207 @default.
- W4312791978 cites W4249815469 @default.
- W4312791978 cites W92108127 @default.
- W4312791978 doi "https://doi.org/10.1109/whispers56178.2022.9955095" @default.
- W4312791978 hasPublicationYear "2022" @default.
- W4312791978 type Work @default.
- W4312791978 citedByCount "0" @default.
- W4312791978 crossrefType "proceedings-article" @default.
- W4312791978 hasAuthorship W4312791978A5001846977 @default.
- W4312791978 hasAuthorship W4312791978A5028834945 @default.
- W4312791978 hasAuthorship W4312791978A5048483940 @default.
- W4312791978 hasAuthorship W4312791978A5075030067 @default.
- W4312791978 hasConcept C111335779 @default.
- W4312791978 hasConcept C115961682 @default.
- W4312791978 hasConcept C13481523 @default.
- W4312791978 hasConcept C153180895 @default.
- W4312791978 hasConcept C154945302 @default.
- W4312791978 hasConcept C159078339 @default.
- W4312791978 hasConcept C160633673 @default.
- W4312791978 hasConcept C191178318 @default.
- W4312791978 hasConcept C202444582 @default.
- W4312791978 hasConcept C2524010 @default.
- W4312791978 hasConcept C27438332 @default.
- W4312791978 hasConcept C33676613 @default.
- W4312791978 hasConcept C33923547 @default.
- W4312791978 hasConcept C41008148 @default.
- W4312791978 hasConcept C70437156 @default.
- W4312791978 hasConcept C70518039 @default.
- W4312791978 hasConcept C78548338 @default.
- W4312791978 hasConcept C9417928 @default.
- W4312791978 hasConceptScore W4312791978C111335779 @default.
- W4312791978 hasConceptScore W4312791978C115961682 @default.
- W4312791978 hasConceptScore W4312791978C13481523 @default.
- W4312791978 hasConceptScore W4312791978C153180895 @default.
- W4312791978 hasConceptScore W4312791978C154945302 @default.
- W4312791978 hasConceptScore W4312791978C159078339 @default.
- W4312791978 hasConceptScore W4312791978C160633673 @default.
- W4312791978 hasConceptScore W4312791978C191178318 @default.
- W4312791978 hasConceptScore W4312791978C202444582 @default.
- W4312791978 hasConceptScore W4312791978C2524010 @default.
- W4312791978 hasConceptScore W4312791978C27438332 @default.
- W4312791978 hasConceptScore W4312791978C33676613 @default.
- W4312791978 hasConceptScore W4312791978C33923547 @default.
- W4312791978 hasConceptScore W4312791978C41008148 @default.
- W4312791978 hasConceptScore W4312791978C70437156 @default.
- W4312791978 hasConceptScore W4312791978C70518039 @default.
- W4312791978 hasConceptScore W4312791978C78548338 @default.
- W4312791978 hasConceptScore W4312791978C9417928 @default.
- W4312791978 hasLocation W43127919781 @default.
- W4312791978 hasOpenAccess W4312791978 @default.
- W4312791978 hasPrimaryLocation W43127919781 @default.
- W4312791978 hasRelatedWork W1534000007 @default.
- W4312791978 hasRelatedWork W1585144779 @default.
- W4312791978 hasRelatedWork W1966127109 @default.
- W4312791978 hasRelatedWork W2370292837 @default.
- W4312791978 hasRelatedWork W2555612813 @default.
- W4312791978 hasRelatedWork W2609118866 @default.
- W4312791978 hasRelatedWork W2909119362 @default.
- W4312791978 hasRelatedWork W2951425100 @default.
- W4312791978 hasRelatedWork W3154145980 @default.
- W4312791978 hasRelatedWork W4292879257 @default.
- W4312791978 isParatext "false" @default.
- W4312791978 isRetracted "false" @default.
- W4312791978 workType "article" @default.