A comparative study of deep learning architectures for tree detection in multispectral satellite imagery

By: Material type: TextTextPublication details: Islamabad (unpublished) 2024Description: ix, 49 p. : ill.,Col. ; 30 cm. +CDSubject(s): DDC classification:
  • 005.6 WAQ
Dissertation note: Thesis (MS)--Riphah International University, 2024
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Item type Current library Call number Copy number Status Date due Barcode
Thesis Thesis City Campus 005.6 WAQ (Browse shelf(Opens below)) 1 NOT for LOAN 53770

Submitted in the fulfillment of the requirements for the degree of Master of Science in Data Science to the Faculty of Computing.

Thesis supervisor: Dr. Adeel Zafar

Includes bibliographical references.

Thesis (MS)--Riphah International University, 2024

English

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