Matches in SemOpenAlex for { <https://semopenalex.org/work/W2092120745> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W2092120745 endingPage "127" @default.
- W2092120745 startingPage "117" @default.
- W2092120745 abstract "This article studies the effect of airborne lidar (surface) elevation data on the classification of multispectral IKONOS images over a coastal area. The lidar data and IKONOS images are treated as independent multiple bands to conduct the classification. To do so, the lidar elevation data is first resampled to the same ground spacing interval and stretched to the same radiometric range as the IKONOS images. An unsupervised classification based on the ISODATA algorithm is then used to determine a class schema of six classes: road, water, marsh, roof, tree, and sand. Training sites and checking sites are selected over the lidar-IKONOS merged data set for the subsequent supervised classification and quality evaluation. The complete confusion matrices and average quality indices are presented to assess and compare the classification results. It is shown that the inclusion of the lidar elevation data benefits the separation of classes that have similar spectral characteristics, such as roof and road, water and marsh. The overall classification errors, especially the false positive errors, are reduced by up to 50%. Moreover, by using the lidar elevation data, the classification results show more realistic and homogeneous distribution of geographic features. This property will benefit the subsequent vectorization of the classification maps and the integration of the vector data into a geographical information system." @default.
- W2092120745 created "2016-06-24" @default.
- W2092120745 creator A5029153043 @default.
- W2092120745 creator A5043731325 @default.
- W2092120745 date "2003-01-01" @default.
- W2092120745 modified "2023-10-18" @default.
- W2092120745 title "Combining Lidar Elevation Data and IKONOS Multispectral Imagery for Coastal Classification Mapping" @default.
- W2092120745 cites W1482792445 @default.
- W2092120745 cites W194524482 @default.
- W2092120745 cites W1984441870 @default.
- W2092120745 cites W2009618549 @default.
- W2092120745 cites W2039609561 @default.
- W2092120745 cites W2087670708 @default.
- W2092120745 cites W2098057602 @default.
- W2092120745 cites W2105090634 @default.
- W2092120745 cites W2197595524 @default.
- W2092120745 cites W2203042183 @default.
- W2092120745 cites W2315013538 @default.
- W2092120745 cites W2474181313 @default.
- W2092120745 cites W2964569144 @default.
- W2092120745 doi "https://doi.org/10.1080/01490410306707" @default.
- W2092120745 hasPublicationYear "2003" @default.
- W2092120745 type Work @default.
- W2092120745 sameAs 2092120745 @default.
- W2092120745 citedByCount "71" @default.
- W2092120745 countsByYear W20921207452012 @default.
- W2092120745 countsByYear W20921207452013 @default.
- W2092120745 countsByYear W20921207452014 @default.
- W2092120745 countsByYear W20921207452015 @default.
- W2092120745 countsByYear W20921207452016 @default.
- W2092120745 countsByYear W20921207452017 @default.
- W2092120745 countsByYear W20921207452018 @default.
- W2092120745 countsByYear W20921207452019 @default.
- W2092120745 countsByYear W20921207452020 @default.
- W2092120745 countsByYear W20921207452021 @default.
- W2092120745 countsByYear W20921207452022 @default.
- W2092120745 countsByYear W20921207452023 @default.
- W2092120745 crossrefType "journal-article" @default.
- W2092120745 hasAuthorship W2092120745A5029153043 @default.
- W2092120745 hasAuthorship W2092120745A5043731325 @default.
- W2092120745 hasConcept C104541649 @default.
- W2092120745 hasConcept C173163844 @default.
- W2092120745 hasConcept C181843262 @default.
- W2092120745 hasConcept C205649164 @default.
- W2092120745 hasConcept C2524010 @default.
- W2092120745 hasConcept C33923547 @default.
- W2092120745 hasConcept C37054046 @default.
- W2092120745 hasConcept C51399673 @default.
- W2092120745 hasConcept C58640448 @default.
- W2092120745 hasConcept C62649853 @default.
- W2092120745 hasConceptScore W2092120745C104541649 @default.
- W2092120745 hasConceptScore W2092120745C173163844 @default.
- W2092120745 hasConceptScore W2092120745C181843262 @default.
- W2092120745 hasConceptScore W2092120745C205649164 @default.
- W2092120745 hasConceptScore W2092120745C2524010 @default.
- W2092120745 hasConceptScore W2092120745C33923547 @default.
- W2092120745 hasConceptScore W2092120745C37054046 @default.
- W2092120745 hasConceptScore W2092120745C51399673 @default.
- W2092120745 hasConceptScore W2092120745C58640448 @default.
- W2092120745 hasConceptScore W2092120745C62649853 @default.
- W2092120745 hasIssue "1-2" @default.
- W2092120745 hasLocation W20921207451 @default.
- W2092120745 hasOpenAccess W2092120745 @default.
- W2092120745 hasPrimaryLocation W20921207451 @default.
- W2092120745 hasRelatedWork W1831783746 @default.
- W2092120745 hasRelatedWork W1916388061 @default.
- W2092120745 hasRelatedWork W2006750359 @default.
- W2092120745 hasRelatedWork W2045118021 @default.
- W2092120745 hasRelatedWork W2568058803 @default.
- W2092120745 hasRelatedWork W2768326488 @default.
- W2092120745 hasRelatedWork W2773765744 @default.
- W2092120745 hasRelatedWork W2900835529 @default.
- W2092120745 hasRelatedWork W2960267326 @default.
- W2092120745 hasRelatedWork W3047022030 @default.
- W2092120745 hasVolume "26" @default.
- W2092120745 isParatext "false" @default.
- W2092120745 isRetracted "false" @default.
- W2092120745 magId "2092120745" @default.
- W2092120745 workType "article" @default.