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• W2043648244 abstract "Remote sensing data processing deals with real-life applications with great societal values. For instance urban monitoring, fire detection or flood prediction from remotely sensed multispectral or radar images have a great impact on economical and environmental issues. To treat efficiently the acquired data and provide accurate products, remote sensing has evolved into a multidisciplinary field, where machine learning and signal processing algorithms play an important role nowadays. This paper serves as a survey of methods and applications, and reviews the latest methodological advances in machine learning for remote sensing data analysis." @default.
• W2043648244 created "2016-06-24" @default.
• W2043648244 creator A5039052506 @default.
• W2043648244 date "2009-09-01" @default.
• W2043648244 modified "2023-10-01" @default.
• W2043648244 title "Machine learning in remote sensing data processing" @default.
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• W2043648244 cites W1967400946 @default.
• W2043648244 cites W1975580656 @default.
• W2043648244 cites W2010479838 @default.
• W2043648244 cites W2013593251 @default.
• W2043648244 cites W2017900475 @default.
• W2043648244 cites W2043665634 @default.
• W2043648244 cites W2045331152 @default.
• W2043648244 cites W2060663574 @default.
• W2043648244 cites W2067983477 @default.
• W2043648244 cites W2076131212 @default.
• W2043648244 cites W2078296814 @default.
• W2043648244 cites W2078619499 @default.
• W2043648244 cites W2081780938 @default.
• W2043648244 cites W2096334333 @default.
• W2043648244 cites W2098594213 @default.
• W2043648244 cites W2098731573 @default.
• W2043648244 cites W2098758111 @default.
• W2043648244 cites W2101687885 @default.
• W2043648244 cites W2101711129 @default.
• W2043648244 cites W2102049927 @default.
• W2043648244 cites W2103316308 @default.
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• W2043648244 cites W2114819256 @default.
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• W2043648244 doi "https://doi.org/10.1109/mlsp.2009.5306233" @default.
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