Cite Article
Cite Article
MLA
Sehgal, Smriti, et al. "A Novel Approach for Band Selection Using Virtual Dimensionality Estimate and Principal Component Analysis for Satellite Image Classification." IJIIT vol.18, no.2 2022: pp.1-16. http://doi.org/10.4018/IJIIT.296272
APA
Sehgal, S., Ahuja, L., & Bindu, M. H. (2022). A Novel Approach for Band Selection Using Virtual Dimensionality Estimate and Principal Component Analysis for Satellite Image Classification. International Journal of Intelligent Information Technologies (IJIIT), 18 (2), 1-16. http://doi.org/10.4018/IJIIT.296272
Chicago
Sehgal, Smriti, Laxmi Ahuja, and M. Hima Bindu. "A Novel Approach for Band Selection Using Virtual Dimensionality Estimate and Principal Component Analysis for Satellite Image Classification," International Journal of Intelligent Information Technologies (IJIIT) 18, no.2: 1-16. http://doi.org/10.4018/IJIIT.296272
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International Journal of Intelligent Information Technologies (IJIIT) Intelligent information technologies are being used by a large number of organizations for improving productivity in many roles such as assistants to human operators and autonomous decision-making components of complex systems. While a number of intelligent applications have been developed in various domains, there are still a number of research issues that have to be explored in terms of their design, implementation, integration, and deployment over the Internet or a corporate Intranet.
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