Matches in SemOpenAlex for { <https://semopenalex.org/work/W2215553707> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W2215553707 abstract "Taking the advantages of remotely sensed data for mapping and monitoring of water boundaries is of particular importance in many different management and conservation activities. Imagery data are classified using automatic techniques to produce maps entering the water bodies’ analysis chain in several and different points. Very commonly, medium or coarse spatial resolution imagery is used in studies of large water bodies. Data of this kind is affected by the presence of mixed pixels leading to very outstanding problems, in particular when dealing with boundary pixels. A considerable amount of uncertainty inescapably occurs when conventional hard classifiers (e.g., maximum likelihood) are applied on mixed pixels. In this study, Linear Spectral Mixture Model (LSMM) is used to estimate the proportion of water in boundary pixels. Firstly by applying an unsupervised clustering, the water body is identified approximately and a buffer area considered ensuring the selection of entire boundary pixels. Then LSMM is applied on this buffer region to estimate the fractional maps. However, resultant output of LSMM does not provide a sub-pixel map corresponding to water abundances. To tackle with this problem, Pixel Swapping (PS) algorithm is used to allocate sub-pixels within mixed pixels in such a way to maximize the spatial proximity of sub-pixels and pixels in the neighborhood. The water area of two segments of Tagliamento River (Italy) are mapped in sub-pixel resolution (10m) using a 30m Landsat image. To evaluate the proficiency of the proposed approach for sub-pixel boundary mapping, the image is also classified using a conventional hard classifier. A high resolution image of the same area is also classified and used as a reference for accuracy assessment. According to the results, sub-pixel map shows in average about 8 percent higher overall accuracy than hard classification and fits very well in the boundaries with the reference map." @default.
- W2215553707 created "2016-06-24" @default.
- W2215553707 creator A5048813568 @default.
- W2215553707 creator A5084700871 @default.
- W2215553707 date "2015-10-14" @default.
- W2215553707 modified "2023-09-25" @default.
- W2215553707 title "Sub-pixel mapping of water boundaries using pixel swapping algorithm (case study: Tagliamento River, Italy)" @default.
- W2215553707 cites W1979797212 @default.
- W2215553707 cites W1983720606 @default.
- W2215553707 cites W1991005893 @default.
- W2215553707 cites W1995450389 @default.
- W2215553707 cites W2013648735 @default.
- W2215553707 cites W2044451987 @default.
- W2215553707 cites W2151747974 @default.
- W2215553707 cites W2267362924 @default.
- W2215553707 doi "https://doi.org/10.1117/12.2194579" @default.
- W2215553707 hasPublicationYear "2015" @default.
- W2215553707 type Work @default.
- W2215553707 sameAs 2215553707 @default.
- W2215553707 citedByCount "2" @default.
- W2215553707 countsByYear W22155537072017 @default.
- W2215553707 countsByYear W22155537072020 @default.
- W2215553707 crossrefType "proceedings-article" @default.
- W2215553707 hasAuthorship W2215553707A5048813568 @default.
- W2215553707 hasAuthorship W2215553707A5084700871 @default.
- W2215553707 hasConcept C11413529 @default.
- W2215553707 hasConcept C134306372 @default.
- W2215553707 hasConcept C154945302 @default.
- W2215553707 hasConcept C160633673 @default.
- W2215553707 hasConcept C205372480 @default.
- W2215553707 hasConcept C205649164 @default.
- W2215553707 hasConcept C33923547 @default.
- W2215553707 hasConcept C41008148 @default.
- W2215553707 hasConcept C62354387 @default.
- W2215553707 hasConcept C62649853 @default.
- W2215553707 hasConcept C73555534 @default.
- W2215553707 hasConceptScore W2215553707C11413529 @default.
- W2215553707 hasConceptScore W2215553707C134306372 @default.
- W2215553707 hasConceptScore W2215553707C154945302 @default.
- W2215553707 hasConceptScore W2215553707C160633673 @default.
- W2215553707 hasConceptScore W2215553707C205372480 @default.
- W2215553707 hasConceptScore W2215553707C205649164 @default.
- W2215553707 hasConceptScore W2215553707C33923547 @default.
- W2215553707 hasConceptScore W2215553707C41008148 @default.
- W2215553707 hasConceptScore W2215553707C62354387 @default.
- W2215553707 hasConceptScore W2215553707C62649853 @default.
- W2215553707 hasConceptScore W2215553707C73555534 @default.
- W2215553707 hasLocation W22155537071 @default.
- W2215553707 hasOpenAccess W2215553707 @default.
- W2215553707 hasPrimaryLocation W22155537071 @default.
- W2215553707 hasRelatedWork W1965569240 @default.
- W2215553707 hasRelatedWork W1970687769 @default.
- W2215553707 hasRelatedWork W1972529049 @default.
- W2215553707 hasRelatedWork W1978689553 @default.
- W2215553707 hasRelatedWork W1991018729 @default.
- W2215553707 hasRelatedWork W2026461463 @default.
- W2215553707 hasRelatedWork W2046841679 @default.
- W2215553707 hasRelatedWork W2069406300 @default.
- W2215553707 hasRelatedWork W2081155276 @default.
- W2215553707 hasRelatedWork W2157295703 @default.
- W2215553707 hasRelatedWork W2181488158 @default.
- W2215553707 hasRelatedWork W2181902894 @default.
- W2215553707 hasRelatedWork W2233781956 @default.
- W2215553707 hasRelatedWork W2267362924 @default.
- W2215553707 hasRelatedWork W2316389018 @default.
- W2215553707 hasRelatedWork W2465076769 @default.
- W2215553707 hasRelatedWork W25011659 @default.
- W2215553707 hasRelatedWork W2988656079 @default.
- W2215553707 hasRelatedWork W3016327185 @default.
- W2215553707 hasRelatedWork W73547190 @default.
- W2215553707 isParatext "false" @default.
- W2215553707 isRetracted "false" @default.
- W2215553707 magId "2215553707" @default.
- W2215553707 workType "article" @default.