Land Cover Mapping from Colorized CORONA Archived Greyscale Satellite Data and Feature Extraction Classification

Άθως Αγαπίου

Land 2021 article cited by 14

importance 3/10 ai assisted Remote-Sensing Image Classification remote sensing stage: research

Land cover mapping typically relies on multispectral data; extracting land cover information from archived greyscale CORONA satellite imagery is difficult.

Archive greyscale satellite data is an underused source of historical land cover information.

Applied the DeOldify deep learning method (MyHeritage platform) to colorise a CORONA image over Larnaca, Cyprus, then performed geometric correction, segmentation, and SVM classification into five land cover classes.

not stated in source

Shows archived greyscale satellite imagery can be colorised and classified for land cover mapping.

Venue Land
Published 2021
Work type article
Authors Άθως Αγαπίου
Citations 14 (OpenAlex, at import time)
References 44
Model or method DeOldify; SVM classifier
Organization not stated in source
Primary source https://doi.org/10.3390/land10080771
Open access gold
Keywords CORONA, colorization, DeOldify, SVM, land cover, remote sensing
3 / 10

incremental / niche

Niche methodological advance showing archived greyscale imagery can be colorised and classified for land cover mapping; no population or industry-scale impact stated.

Basis: inferred. Judged from the source text, which gives no explicit scale. Stated scale: not stated in source. Method and limits.

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