Deep Transfer Learning of Satellite Imagery for Land Use and Land Cover Classification

Deep learning has been instrumental in solving difficult problems by automatically learning, from sample data, the rules (algorithms) that map an input to its respective output. Purpose: Perform land use landcover (LULC) classification using the training data of satellite imagery for Moscow region a...

書誌詳細
出版年:	Информатика и автоматизация
主要な著者:	Teklay Yifter, Yury Razoumny, Vasiliy Lobanov
フォーマット:	論文
言語:	英語
出版事項:	Russian Academy of Sciences, St. Petersburg Federal Research Center 2022-09-01
主題:	neural networks deep transfer learning land use land cover classification satellite imagery
オンライン･アクセス:	http://ia.spcras.ru/index.php/sp/article/view/15395

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