Opin vísindi

A Survey on Spectral–Spatial Classification Techniques Based on Attribute Profiles

Show simple item record

dc.contributor Háskóli Íslands
dc.contributor University of Iceland
dc.contributor.author Ghamisi, Pedram
dc.contributor.author Dalla Mura, Mauro
dc.contributor.author Benediktsson, Jon Atli
dc.date.accessioned 2016-08-17T07:16:35Z
dc.date.available 2016-08-17T07:16:35Z
dc.date.issued 2015
dc.identifier.citation P. Ghamisi, M. Dalla Mura and J. A. Benediktsson, "A Survey on Spectral–Spatial Classification Techniques Based on Attribute Profiles," in IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 5, pp. 2335-2353, May 2015.
dc.identifier.issn 0196-2892
dc.identifier.uri https://hdl.handle.net/20.500.11815/64
dc.description.abstract Just over a decade has passed since the concept of morphological profile was defined for the analysis of remote sensing images. Since then, the morphological profile has largely proved to be a powerful tool able to model spatial information (e.g., contextual relations) of the image. However, due to the shortcomings of using the morphological profiles, many variants, extensions, and refinements of its definition have appeared stating that the morphological profile is still under continuous development. In this case, recently introduced theoretically sound attribute profiles (APs) can be considered as a generalization of the morphological profile, which is a powerful tool to model spatial information existing in the scene. Although the concept of the AP has been introduced in remote sensing only recently, an extensive literature on its use in different applications and on different types of data has appeared. To that end, the great amount of contributions in the literature that address the application of the AP to many tasks (e.g., classification, object detection, segmentation, change detection, etc.) and to different types of images (e.g., panchromatic, multispectral, and hyperspectral) proves how the AP is an effective and modern tool. The main objective of this survey paper is to recall the concept of the APs along with all its modifications and generalizations with special emphasis on remote sensing image classification and summarize the important aspects of its efficient utilization while also listing potential future works.
dc.description.sponsorship Rannís. Rannsóknarnámssjóður. Icelandic Research Fund for Graduate Students. Jules Verne Program, project ID 31936TD.
dc.format.extent 2335-2353
dc.language.iso en
dc.publisher IEEE
dc.rights info:eu-repo/semantics/restrictedAccess
dc.subject Data mining
dc.subject Feature extraction
dc.subject Hyperspectral imaging
dc.subject Image reconstruction
dc.subject Shape
dc.title A Survey on Spectral–Spatial Classification Techniques Based on Attribute Profiles
dc.type info:eu-repo/semantics/article
dc.description.version PostPrint
dc.identifier.journal IEEE Transactions on Geoscience and Remote Sensing (Volume:53 , Issue: 5 )
dc.identifier.doi 10.1109/TGRS.2014.2358934
dc.relation.url 10.1109/TGRS.2014.2358934
dc.contributor.department Rafmagns- og tölvuverkfræðideild (HÍ)
dc.contributor.department Faculty of Electrical and Computer Engineering (UI)
dc.contributor.school Verkfræði- og náttúruvísindasvið (HÍ)
dc.contributor.school School of Engineering and Natural Sciences (UI)

Files in this item

This item appears in the following Collection(s)

Show simple item record