Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313180686> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W4313180686 abstract "The Normalized Difference Vegetation Index (NDVI) is an important factor to be considered in vegetation tracking and analysis, which can be easily derived from multispectral (MS) images. However, the limitation imposed by the atmospheric conditions makes the calculation of this index difficult. Because of the clouds, only a limited number of multispectral bands can capture the land appropriately. Furthermore, the multispectral sensors are dependent on the sunlight, which makes the acquisition of data more limited. These limitations do not hinder other types of Earth Observation (EO) data, like the scenes captured by the Synthetic Aperture Radar (SAR). However, SAR images cannot be used in NDVI calculation. In this article, we propose a deep learning (DL) based method for NDVI estimation from SAR data. Using a database with corresponding MS and SAR patches, we calculate the NDVI for each sample, then use a convolutional neural network (CNN) for predicting the NDVI of SAR images. This simple method leads to a precision of 70% in NDVI estimation from SAR images." @default.
- W4313180686 created "2023-01-06" @default.
- W4313180686 creator A5032370631 @default.
- W4313180686 creator A5064251688 @default.
- W4313180686 creator A5075098303 @default.
- W4313180686 date "2022-07-17" @default.
- W4313180686 modified "2023-09-27" @default.
- W4313180686 title "Estimating NDVI from SAR Images Using DNN" @default.
- W4313180686 cites W1985814652 @default.
- W4313180686 cites W2151039611 @default.
- W4313180686 cites W2746211487 @default.
- W4313180686 cites W2773325695 @default.
- W4313180686 cites W2900848592 @default.
- W4313180686 cites W2901791811 @default.
- W4313180686 cites W2953239899 @default.
- W4313180686 cites W2970335204 @default.
- W4313180686 cites W2984854008 @default.
- W4313180686 cites W2986943971 @default.
- W4313180686 cites W3130418180 @default.
- W4313180686 cites W3204719315 @default.
- W4313180686 cites W3205089910 @default.
- W4313180686 cites W3205933973 @default.
- W4313180686 cites W3206979022 @default.
- W4313180686 doi "https://doi.org/10.1109/igarss46834.2022.9884313" @default.
- W4313180686 hasPublicationYear "2022" @default.
- W4313180686 type Work @default.
- W4313180686 citedByCount "1" @default.
- W4313180686 countsByYear W43131806862023 @default.
- W4313180686 crossrefType "proceedings-article" @default.
- W4313180686 hasAuthorship W4313180686A5032370631 @default.
- W4313180686 hasAuthorship W4313180686A5064251688 @default.
- W4313180686 hasAuthorship W4313180686A5075098303 @default.
- W4313180686 hasConcept C104541649 @default.
- W4313180686 hasConcept C1549246 @default.
- W4313180686 hasConcept C154945302 @default.
- W4313180686 hasConcept C160633673 @default.
- W4313180686 hasConcept C173163844 @default.
- W4313180686 hasConcept C18903297 @default.
- W4313180686 hasConcept C205649164 @default.
- W4313180686 hasConcept C25989453 @default.
- W4313180686 hasConcept C41008148 @default.
- W4313180686 hasConcept C62649853 @default.
- W4313180686 hasConcept C81363708 @default.
- W4313180686 hasConcept C86803240 @default.
- W4313180686 hasConcept C87360688 @default.
- W4313180686 hasConceptScore W4313180686C104541649 @default.
- W4313180686 hasConceptScore W4313180686C1549246 @default.
- W4313180686 hasConceptScore W4313180686C154945302 @default.
- W4313180686 hasConceptScore W4313180686C160633673 @default.
- W4313180686 hasConceptScore W4313180686C173163844 @default.
- W4313180686 hasConceptScore W4313180686C18903297 @default.
- W4313180686 hasConceptScore W4313180686C205649164 @default.
- W4313180686 hasConceptScore W4313180686C25989453 @default.
- W4313180686 hasConceptScore W4313180686C41008148 @default.
- W4313180686 hasConceptScore W4313180686C62649853 @default.
- W4313180686 hasConceptScore W4313180686C81363708 @default.
- W4313180686 hasConceptScore W4313180686C86803240 @default.
- W4313180686 hasConceptScore W4313180686C87360688 @default.
- W4313180686 hasLocation W43131806861 @default.
- W4313180686 hasOpenAccess W4313180686 @default.
- W4313180686 hasPrimaryLocation W43131806861 @default.
- W4313180686 hasRelatedWork W2021348799 @default.
- W4313180686 hasRelatedWork W2083180537 @default.
- W4313180686 hasRelatedWork W2386877592 @default.
- W4313180686 hasRelatedWork W2474967816 @default.
- W4313180686 hasRelatedWork W2918917862 @default.
- W4313180686 hasRelatedWork W3031909544 @default.
- W4313180686 hasRelatedWork W3131311955 @default.
- W4313180686 hasRelatedWork W3165608898 @default.
- W4313180686 hasRelatedWork W4296308830 @default.
- W4313180686 hasRelatedWork W4313180686 @default.
- W4313180686 isParatext "false" @default.
- W4313180686 isRetracted "false" @default.
- W4313180686 workType "article" @default.