FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2896173623> ?p ?o ?g. }

• W2896173623 endingPage "2144" @default.
• W2896173623 startingPage "2133" @default.
• W2896173623 abstract "This paper presents a new method based on recent optimization technique to detect slow-moving landslides (<;150m/year) in time series of displacement field generated by satellite images. Sparse optimization is applied simultaneously on the 3-D data set in space as well as in time. The proposed method takes into account the distinctive signal physical properties in space and time, by enforcing a sparse representation by blocks in space, but a continuing and monotonous representation in time of the landslides. As a result, we show that a mixed ℓ <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>1</sub> ,2-norm is the most suitable norm for this detection problem, compared to pure ℓ <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>1</sub> -norm or ℓ <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> -norm. Moreover, an outlier estimation step is included that sets apart the Gaussian noise from locally sparse processing errors in the data. The performance of this approach is tested by applying it both on synthetic data and on a time series of displacements fields over 16 dates in the Colca Valley, Peru. This detection presents commission and omission errors for landslides of 29% and 14%, respectively, using a medium resolution (10 m) data set of optical satellite images. It detects all important landslides, already known from field investigations. Moreover, it also points out other smaller or unknown landslides, increasing the existing slow-moving landslide inventory by +50%." @default.
• W2896173623 created "2018-10-26" @default.
• W2896173623 creator A5020161600 @default.
• W2896173623 creator A5068234153 @default.
• W2896173623 creator A5072828605 @default.
• W2896173623 date "2019-04-01" @default.
• W2896173623 modified "2023-10-04" @default.
• W2896173623 title "Sparsity Optimization Method for Slow-Moving Landslides Detection in Satellite Image Time-Series" @default.
• W2896173623 cites W1607836799 @default.
• W2896173623 cites W1946620893 @default.
• W2896173623 cites W1970304186 @default.
• W2896173623 cites W1971809656 @default.
• W2896173623 cites W2000888362 @default.
• W2896173623 cites W2005802434 @default.
• W2896173623 cites W2007437458 @default.
• W2896173623 cites W2021517173 @default.
• W2896173623 cites W2025418414 @default.
• W2896173623 cites W2032098896 @default.
• W2896173623 cites W2038497950 @default.
• W2896173623 cites W2044494416 @default.
• W2896173623 cites W2054110507 @default.
• W2896173623 cites W2054512946 @default.
• W2896173623 cites W2074348638 @default.
• W2896173623 cites W2085394607 @default.
• W2896173623 cites W2092369902 @default.
• W2896173623 cites W2101255151 @default.
• W2896173623 cites W2113668461 @default.
• W2896173623 cites W2118046132 @default.
• W2896173623 cites W2158449358 @default.
• W2896173623 cites W2168122860 @default.
• W2896173623 cites W2177620715 @default.
• W2896173623 cites W2288228418 @default.
• W2896173623 cites W2302311273 @default.
• W2896173623 cites W2547100633 @default.
• W2896173623 cites W2556865753 @default.
• W2896173623 cites W2768074118 @default.
• W2896173623 cites W2768315162 @default.
• W2896173623 cites W2792992123 @default.
• W2896173623 cites W2798042042 @default.
• W2896173623 cites W2963586571 @default.
• W2896173623 cites W3106359998 @default.
• W2896173623 cites W4229650096 @default.
• W2896173623 cites W4293775970 @default.
• W2896173623 cites W837418807 @default.
• W2896173623 doi "https://doi.org/10.1109/tgrs.2018.2871550" @default.
• W2896173623 hasPublicationYear "2019" @default.
• W2896173623 type Work @default.
• W2896173623 sameAs 2896173623 @default.
• W2896173623 citedByCount "7" @default.
• W2896173623 countsByYear W28961736232020 @default.
• W2896173623 countsByYear W28961736232021 @default.
• W2896173623 countsByYear W28961736232022 @default.
• W2896173623 countsByYear W28961736232023 @default.
• W2896173623 crossrefType "journal-article" @default.
• W2896173623 hasAuthorship W2896173623A5020161600 @default.
• W2896173623 hasAuthorship W2896173623A5068234153 @default.
• W2896173623 hasAuthorship W2896173623A5072828605 @default.
• W2896173623 hasConcept C11413529 @default.
• W2896173623 hasConcept C121332964 @default.
• W2896173623 hasConcept C127313418 @default.
• W2896173623 hasConcept C1276947 @default.
• W2896173623 hasConcept C143724316 @default.
• W2896173623 hasConcept C151730666 @default.
• W2896173623 hasConcept C154945302 @default.
• W2896173623 hasConcept C17744445 @default.
• W2896173623 hasConcept C186295008 @default.
• W2896173623 hasConcept C187320778 @default.
• W2896173623 hasConcept C191795146 @default.
• W2896173623 hasConcept C19269812 @default.
• W2896173623 hasConcept C199539241 @default.
• W2896173623 hasConcept C41008148 @default.
• W2896173623 hasConcept C58489278 @default.
• W2896173623 hasConcept C62649853 @default.
• W2896173623 hasConcept C79337645 @default.
• W2896173623 hasConceptScore W2896173623C11413529 @default.
• W2896173623 hasConceptScore W2896173623C121332964 @default.
• W2896173623 hasConceptScore W2896173623C127313418 @default.
• W2896173623 hasConceptScore W2896173623C1276947 @default.
• W2896173623 hasConceptScore W2896173623C143724316 @default.
• W2896173623 hasConceptScore W2896173623C151730666 @default.
• W2896173623 hasConceptScore W2896173623C154945302 @default.
• W2896173623 hasConceptScore W2896173623C17744445 @default.
• W2896173623 hasConceptScore W2896173623C186295008 @default.
• W2896173623 hasConceptScore W2896173623C187320778 @default.
• W2896173623 hasConceptScore W2896173623C191795146 @default.
• W2896173623 hasConceptScore W2896173623C19269812 @default.
• W2896173623 hasConceptScore W2896173623C199539241 @default.
• W2896173623 hasConceptScore W2896173623C41008148 @default.
• W2896173623 hasConceptScore W2896173623C58489278 @default.
• W2896173623 hasConceptScore W2896173623C62649853 @default.
• W2896173623 hasConceptScore W2896173623C79337645 @default.
• W2896173623 hasFunder F4320318240 @default.
• W2896173623 hasIssue "4" @default.
• W2896173623 hasLocation W28961736231 @default.
• W2896173623 hasLocation W28961736232 @default.
• W2896173623 hasLocation W28961736233 @default.
• W2896173623 hasLocation W28961736234 @default.
• W2896173623 hasLocation W28961736235 @default.

• next