Likelihood - base segmentation and classification of remotely sensed images : a bayesian optimization approach for combining RS and GIS

A.A. Abkar

Research output: ThesisPhD Thesis - Research UT, graduation UTAcademic

Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • University of Twente
Supervisors/Advisors
  • Mulder, N.J., Supervisor
  • Sharifi, M.A., Supervisor
Place of PublicationEnschede
Publisher
Print ISBNs90-6164-169-1
Publication statusPublished - 1999

Keywords

  • PGM
  • GIP
  • ADLIB-BOOK-238

Cite this

Abkar, A. A. (1999). Likelihood - base segmentation and classification of remotely sensed images : a bayesian optimization approach for combining RS and GIS. Enschede: International Institute for Geo-Information Science and Earth Observation.
Abkar, A.A.. / Likelihood - base segmentation and classification of remotely sensed images : a bayesian optimization approach for combining RS and GIS. Enschede : International Institute for Geo-Information Science and Earth Observation, 1999.
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title = "Likelihood - base segmentation and classification of remotely sensed images : a bayesian optimization approach for combining RS and GIS",
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author = "A.A. Abkar",
note = "ITC Dissertation; 62. PhD thesis Twente University; Summaries in Dutch and English",
year = "1999",
language = "English",
isbn = "90-6164-169-1",
series = "ITC Dissertation",
publisher = "International Institute for Geo-Information Science and Earth Observation",
address = "Netherlands",
school = "University of Twente",

}

Likelihood - base segmentation and classification of remotely sensed images : a bayesian optimization approach for combining RS and GIS. / Abkar, A.A.

Enschede : International Institute for Geo-Information Science and Earth Observation, 1999.

Research output: ThesisPhD Thesis - Research UT, graduation UTAcademic

TY - THES

T1 - Likelihood - base segmentation and classification of remotely sensed images : a bayesian optimization approach for combining RS and GIS

AU - Abkar, A.A.

N1 - ITC Dissertation; 62. PhD thesis Twente University; Summaries in Dutch and English

PY - 1999

Y1 - 1999

KW - PGM

KW - GIP

KW - ADLIB-BOOK-238

M3 - PhD Thesis - Research UT, graduation UT

SN - 90-6164-169-1

T3 - ITC Dissertation

PB - International Institute for Geo-Information Science and Earth Observation

CY - Enschede

ER -

Abkar AA. Likelihood - base segmentation and classification of remotely sensed images : a bayesian optimization approach for combining RS and GIS. Enschede: International Institute for Geo-Information Science and Earth Observation, 1999. (ITC Dissertation).