Image segmentation algorithms for land categorization

dc.citation.epage342en_US
dc.citation.spage317en_US
dc.contributor.authorAksoy, Selimen_US
dc.contributor.authorTilton, J. C.en_US
dc.contributor.authorTarabalka, Y.en_US
dc.contributor.editorThenkabail, P. S.
dc.date.accessioned2019-04-30T12:45:41Z
dc.date.available2019-04-30T12:45:41Z
dc.date.issued2015en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionChapter 16
dc.description.abstractImage segmentation is the partitioning of an image into related meaningful sections or regions. Segmentation is the key ¦rst step for a number of image analysis approaches. Ÿe nature and quality of the image segmentation result is a critical factor in determining the level of performance of these image analysis approaches. It is expected that an appropriately designed image segmentation approach will provide a better understanding of a landscape and/or signi¦cantly increase the accuracy of a landscape classi¦cation. An image can be partitioned in several ways, based on numerous criteria. Whether or not a particular image partitioning is useful depends on the goal of the image analysis application that is fed by the image segmentation result.en_US
dc.identifier.isbn9781482217865en_US
dc.identifier.urihttp://hdl.handle.net/11693/51044en_US
dc.language.isoEnglishen_US
dc.publisherTaylor & Francisen_US
dc.relation.ispartofRemote sensing Handbook V.1 Remotely sensed data characterization, classification, and accuraciesen_US
dc.titleImage segmentation algorithms for land categorizationen_US
dc.typeBook Chapteren_US

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