Applying machine learning to restore spectral band loss in satellite image
Original research | No. 45 (2020)
Original research | No. 45 (2020)

Applying machine learning to restore spectral band loss in satellite image

DOI: 10.54491/jgac.2020.45.314
10.54491/jgac.2020.45.314
Published 2020-09-01
Minh Hai Pham
Vietnam Institute of Geodesy and Cartography
Ngoc Quang Nguyen
Hanoi University ofMining and Geology
PDF (Tiếng Việt) | Download: 120

Working Languages

Tiếng Việt

How to Cite

Pham, M. H., & Nguyen, N. Q. (2020). Applying machine learning to restore spectral band loss in satellite image. Journal of Geodesy and Cartography, (45), 1–4. https://doi.org/10.54491/jgac.2020.45.314
ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver

Download Citation

Endnote/Zotero/Mendeley (RIS) BibTeX

Abstract

Problems occur regularlyin spectral band of satellite image due to the satellite image acquisitionprocess. The quality of the image acquisition process still has a number ofproblems such as stripes in spectralbands and image channel loss, which result in images do not have enough 3 basic spectral bands: the RED-GREEN-BLUE (RGB). The objective of this study is to develop an approach torestore the satellite image bands using the correlation between the error bandwith the remaining ones. The Python programming in which "Backward Elimination"regression algorithm was used to calculate, analyze, and process data.
https://doi.org/10.54491/jgac.2020.45.314
PDF (Tiếng Việt) | Download: 120

Downloads

Download data is not yet available.

Most read articles by the same author(s)

1 2 3 4 > >> 
Publishing License No. 01/GPSDBS-CBC issued by the Authority of Press, Ministry of Information and Communications on Feb 19, 2009
©2021 Vietnam Institute of Goedesy and Cartography - Designed by OJSVN