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- W1655403841 endingPage "85" @default.
- W1655403841 startingPage "61" @default.
- W1655403841 abstract "Because of sensor malfunction and poor atmospheric conditions, there is usually a great deal of missing information in optical remote sensing data, which reduces the usage rate and hinders the follow-up interpretation. In the past decades, missing information reconstruction of remote sensing data has become an active research field, and a large number of algorithms have been developed. However, to the best of our knowledge, there has not, to date, been a study that has been aimed at expatiating and summarizing the current situation. This is therefore our motivation in this review. This paper provides an introduction to the principles and theories of missing information reconstruction of remote sensing data. We classify the established and emerging algorithms into four main categories, followed by a comprehensive comparison of them from both experimental and theoretical perspectives. This paper also predicts the promising future research directions." @default.
- W1655403841 created "2016-06-24" @default.
- W1655403841 creator A5013765343 @default.
- W1655403841 creator A5036283525 @default.
- W1655403841 creator A5048639910 @default.
- W1655403841 creator A5064776886 @default.
- W1655403841 creator A5074018705 @default.
- W1655403841 creator A5079445353 @default.
- W1655403841 creator A5087539183 @default.
- W1655403841 date "2015-09-01" @default.
- W1655403841 modified "2023-10-17" @default.
- W1655403841 title "Missing Information Reconstruction of Remote Sensing Data: A Technical Review" @default.
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