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Detection of Objects in Satellite images using Supervised and Unsupervised Learning Methods
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2017.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:bth-14851OAI: oai:DiVA.org:bth-14851DiVA: diva2:1119048
Subject / course
DV2566 Master's Thesis (120 credits) in Computer Science
Educational program
DVAXA Master of Science Programme in Computer Science
Available from: 2017-07-03 Created: 2017-07-03 Last updated: 2017-07-03Bibliographically approved

Open Access in DiVA

fulltext(579 kB)30 downloads
File information
File name FULLTEXT01.pdfFile size 579 kBChecksum SHA-512
129aed1824ffb9785f8a6c7d2183820e2406d523bc6912da3d6328cac5dd745410b9d962653c37bd3cb7c6046cc0beeb46db0a5ab887fba6611a0d70fac47b07
Type fulltextMimetype application/pdf

Computer Science

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Total: 30 downloads
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Total: 5 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf