Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Using Spectral Descriptive Signatures for Industrial Plume Detection
KTH, Skolan för teknik och hälsa (STH), Medicinsk teknik.ORCID-id: 0000-0002-1831-9285
KTH, Skolan för teknik och hälsa (STH), Medicinsk teknik.ORCID-id: 0000-0001-7320-2306
Islamic Azad University, Khomeini Shahr. (Department of Mathematics)
2012 (Engelska)Ingår i: WSEAS Transactions on Environment and Development, ISSN 2224-3496, Vol. 8, nr 4, s. 120-132Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

This paper presents a novel approach for anomaly detection base on computing and utilizing descriptive spectral signatures. The goal of the work is to distinguish between contaminated and normal water areas within a region of investigation. A site-independent approach was developed by considering descriptive spectral signatures characterising normal sweat lake water as reference spectral features. Thereafter, it was possible to detect and determine the distribution of industrial outlet plumes which usually have spectral characteristics that deviate from the surrounding unaffected normal waters. The method was evaluated on airborne hyperspectral remotely-sensed image-data acquired over the region of Norrsundet, Sweden. In this region, areas of different water types were found, such as riverine sweet water, coastal salt seawater, as well as waste water discharged from paper-pulp industries. The work aimed at identifying these types of waters and their distributions. The needed reference descriptive spectral signatures of uncontaminated normal water were generated by using a dataset consisting of laboratory measurements of chlorophyll-a and phaeophytine-a concentrations and the corresponding field reflectance spectra collected at 22 sampling stations in Lake Erken, Sweden. The final results, showing the locations and distributions of contaminated and normal water areas, are in full agreement with field observations in the investigated region.

Ort, förlag, år, upplaga, sidor
2012. Vol. 8, nr 4, s. 120-132
Nyckelord [en]
Industrial plume detection, Remote sensing, Chlorophyll-a, Phaeophytine-a, Descriptive spectral signatures
Nationell ämneskategori
Teknik och teknologier
Identifikatorer
URN: urn:nbn:se:kth:diva-124563Scopus ID: 2-s2.0-84880616262OAI: oai:DiVA.org:kth-124563DiVA, id: diva2:636762
Anmärkning

QC 20130718

Tillgänglig från: 2013-07-12 Skapad: 2013-07-12 Senast uppdaterad: 2014-02-04Bibliografiskt granskad

Open Access i DiVA

fulltext(955 kB)98 nedladdningar
Filinformation
Filnamn FULLTEXT01.pdfFilstorlek 955 kBChecksumma SHA-512
82a7f6cc345568f88374950f057780198685016c61b583619cf5557e0a3b7eebbe076dd7ed15d43d7b3be65b025c74d3279f32a788580ac5a7be7f061204bea5
Typ fulltextMimetyp application/pdf

Övriga länkar

ScopusPublisher's website

Personposter BETA

Hamid Mohammed, HamedKarbalaie, Abdolamir

Sök vidare i DiVA

Av författaren/redaktören
Hamid Mohammed, HamedKarbalaie, Abdolamir
Av organisationen
Medicinsk teknik
Teknik och teknologier

Sök vidare utanför DiVA

GoogleGoogle Scholar
Totalt: 98 nedladdningar
Antalet nedladdningar är summan av nedladdningar för alla fulltexter. Det kan inkludera t.ex tidigare versioner som nu inte längre är tillgängliga.

urn-nbn

Altmetricpoäng

urn-nbn
Totalt: 128 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf