A comparative study of deep learning architectures for tree detection in multispectral satellite imagery
Waqas Ali Khan (51033)
A comparative study of deep learning architectures for tree detection in multispectral satellite imagery - Islamabad (unpublished) 2024 - ix, 49 p. : ill.,Col. ; 30 cm. +CD
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
Data science--Remote sensing--Deep learning--Multispectral synergies--CNN backbones--RISE
005.6 / WAQ
A comparative study of deep learning architectures for tree detection in multispectral satellite imagery - Islamabad (unpublished) 2024 - ix, 49 p. : ill.,Col. ; 30 cm. +CD
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
Data science--Remote sensing--Deep learning--Multispectral synergies--CNN backbones--RISE
005.6 / WAQ