Use this url to cite publication: https://hdl.handle.net/20.500.12259/90971
Urban objects classification by spectral library: Feasibility and applications
Type of publication
Straipsnis konferencijos medžiagoje Web of Science ir Scopus duomenų bazėje / Article in conference proceedings in Web of Science and Scopus database (P1a)
Author(s)
| Author | Affiliation | |||||
|---|---|---|---|---|---|---|
Ouerghemmi, Walid | ||||||
Title
Urban objects classification by spectral library: Feasibility and applications
Is part of
Jurse 2017 : 2017 Joint Urban Remote Sensing Event : proceedings of a meeting held 6-8 March 2017, Dubai, United Arab Emirates. New York, NY : IEEE Press, 2017
Date Issued
| Date |
|---|
2017 |
Publisher
New York, NY : IEEE Press, 2017
Publisher (trusted)
Extent
p. 371-375
Abstract (en)
Objects recognition in urban environment using multiband imagery is a difficult process, implying the use of elaborated and complex image processing methods, which are used to enhance the detection efficiency. The urban mosaics are characterized by multiple materials (e.g. manmade, urban vegetation, bare soil, transport infrastructure, etc.), which are combined together to form a complex patchwork. This study aims to take advantage of the multiband imagery, to assess the feasibility degree of the urban objects detection, and to explore some of the applications related to the multiband hyperspectral imagery classification.
Type of document
type::text::journal::journal article::research article
Language
Anglų / English (en)
Coverage Spatial
Jungtinės Amerikos Valstijos / United States of America (US)
Description
ISSN 2334-0932
ISBN (of the container)
9781509058082
WOS
WOS:000406006100094
Other Identifier(s)
VDU02-000052635