Matches in SemOpenAlex for { <https://semopenalex.org/work/W4293731770> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W4293731770 endingPage "128" @default.
- W4293731770 startingPage "121" @default.
- W4293731770 abstract "The launch of small satellites, CubeSats among others, is skyrocketing easing the development of Earth observation missions and the implementation of Space applications. At the same time, artificial intelligence (AI) and deep neural networks algorithms are enjoying impressive success for their results and the diverse applications they enable. The idea of combining nanosatellite standards with AI capabilities arises, thus, from a will to push the boundaries of Space systems further. Led by the Grenoble University Space Center (CSUG), the QlevEr Sat mission aims at embedding such an algorithm on board a CubeSat, to process data directly and send only the relevant results to the ground station. From the images taken with the Emerald sensor, forest/nonforest and cloud/noncloud segmentation maps are inferred with the Teledyne Qormino QLS1046-Space processor to monitor deforestation. A detailed benchmark of this processor is presented in this article and confirms its suitability for the mission. The specifically designed pixel-wise classification algorithm leverages the Qormino processor computing power to produce accurate high-resolution binary maps." @default.
- W4293731770 created "2022-08-31" @default.
- W4293731770 creator A5006245805 @default.
- W4293731770 creator A5006504289 @default.
- W4293731770 creator A5009039856 @default.
- W4293731770 creator A5014937349 @default.
- W4293731770 creator A5026932467 @default.
- W4293731770 creator A5029395084 @default.
- W4293731770 creator A5029616574 @default.
- W4293731770 creator A5035508615 @default.
- W4293731770 creator A5073950696 @default.
- W4293731770 creator A5080859331 @default.
- W4293731770 creator A5081276525 @default.
- W4293731770 date "2022-09-01" @default.
- W4293731770 modified "2023-10-18" @default.
- W4293731770 title "Assessing the Potential of Qormino Processor for Embedded AI on Board a CubeSat" @default.
- W4293731770 cites W1536680647 @default.
- W4293731770 cites W1569410076 @default.
- W4293731770 cites W2102605133 @default.
- W4293731770 cites W2788577430 @default.
- W4293731770 cites W2790442549 @default.
- W4293731770 cites W2804532080 @default.
- W4293731770 cites W2989604896 @default.
- W4293731770 cites W3007493000 @default.
- W4293731770 cites W3113229535 @default.
- W4293731770 cites W3118034437 @default.
- W4293731770 cites W3177725476 @default.
- W4293731770 cites W3192026935 @default.
- W4293731770 doi "https://doi.org/10.1109/jmass.2022.3202438" @default.
- W4293731770 hasPublicationYear "2022" @default.
- W4293731770 type Work @default.
- W4293731770 citedByCount "0" @default.
- W4293731770 crossrefType "journal-article" @default.
- W4293731770 hasAuthorship W4293731770A5006245805 @default.
- W4293731770 hasAuthorship W4293731770A5006504289 @default.
- W4293731770 hasAuthorship W4293731770A5009039856 @default.
- W4293731770 hasAuthorship W4293731770A5014937349 @default.
- W4293731770 hasAuthorship W4293731770A5026932467 @default.
- W4293731770 hasAuthorship W4293731770A5029395084 @default.
- W4293731770 hasAuthorship W4293731770A5029616574 @default.
- W4293731770 hasAuthorship W4293731770A5035508615 @default.
- W4293731770 hasAuthorship W4293731770A5073950696 @default.
- W4293731770 hasAuthorship W4293731770A5080859331 @default.
- W4293731770 hasAuthorship W4293731770A5081276525 @default.
- W4293731770 hasConcept C111919701 @default.
- W4293731770 hasConcept C127413603 @default.
- W4293731770 hasConcept C146978453 @default.
- W4293731770 hasConcept C154945302 @default.
- W4293731770 hasConcept C160633673 @default.
- W4293731770 hasConcept C185798385 @default.
- W4293731770 hasConcept C19269812 @default.
- W4293731770 hasConcept C205649164 @default.
- W4293731770 hasConcept C2775936636 @default.
- W4293731770 hasConcept C41008148 @default.
- W4293731770 hasConcept C58640448 @default.
- W4293731770 hasConcept C62649853 @default.
- W4293731770 hasConcept C79403827 @default.
- W4293731770 hasConcept C79974875 @default.
- W4293731770 hasConcept C98045186 @default.
- W4293731770 hasConceptScore W4293731770C111919701 @default.
- W4293731770 hasConceptScore W4293731770C127413603 @default.
- W4293731770 hasConceptScore W4293731770C146978453 @default.
- W4293731770 hasConceptScore W4293731770C154945302 @default.
- W4293731770 hasConceptScore W4293731770C160633673 @default.
- W4293731770 hasConceptScore W4293731770C185798385 @default.
- W4293731770 hasConceptScore W4293731770C19269812 @default.
- W4293731770 hasConceptScore W4293731770C205649164 @default.
- W4293731770 hasConceptScore W4293731770C2775936636 @default.
- W4293731770 hasConceptScore W4293731770C41008148 @default.
- W4293731770 hasConceptScore W4293731770C58640448 @default.
- W4293731770 hasConceptScore W4293731770C62649853 @default.
- W4293731770 hasConceptScore W4293731770C79403827 @default.
- W4293731770 hasConceptScore W4293731770C79974875 @default.
- W4293731770 hasConceptScore W4293731770C98045186 @default.
- W4293731770 hasIssue "3" @default.
- W4293731770 hasLocation W42937317701 @default.
- W4293731770 hasLocation W42937317702 @default.
- W4293731770 hasLocation W42937317703 @default.
- W4293731770 hasOpenAccess W4293731770 @default.
- W4293731770 hasPrimaryLocation W42937317701 @default.
- W4293731770 hasRelatedWork W112744582 @default.
- W4293731770 hasRelatedWork W1485630101 @default.
- W4293731770 hasRelatedWork W2077896446 @default.
- W4293731770 hasRelatedWork W2171730362 @default.
- W4293731770 hasRelatedWork W2362621041 @default.
- W4293731770 hasRelatedWork W2383532021 @default.
- W4293731770 hasRelatedWork W2498017833 @default.
- W4293731770 hasRelatedWork W3083410466 @default.
- W4293731770 hasRelatedWork W4297909323 @default.
- W4293731770 hasRelatedWork W4299569200 @default.
- W4293731770 hasVolume "3" @default.
- W4293731770 isParatext "false" @default.
- W4293731770 isRetracted "false" @default.
- W4293731770 workType "article" @default.