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
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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
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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: 87

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