WSEAS Transactions on Signal Processing
Print ISSN: 1790-5052, E-ISSN: 2224-3488
Volume 10, 2014
A Survey on Remote Sensing Scene Classification Algorithms
Authors: ,
Abstract: Scene classification has been widely utilized in various remote sensing applications. Successful image classification depends on several factors, such as availability of data, complexity of available data, availability of ancillary data, expertise of an analyst, availability of suitable classification algorithms, etc. There is no single best classification method that would be suitable for all applications. This paper aims at highlighting the present-day practices of scene classification by summarizing the major scene classification categories available in the literature. Research shows that high-level classification outperforms the other classification methods for almost any kind of data, however, at the cost of high computation. Further research is needed to improve classification accuracy and at the same time reduce computational complexity in order to make a classification method more suitable for real time applications.
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Pages: 504-519
WSEAS Transactions on Signal Processing, ISSN / E-ISSN: 1790-5052 / 2224-3488, Volume 10, 2014, Art. #52