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Review of Image Fusion Techniques and Evaluation Metrics for Remote Sensing Applications

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dc.contributor.author Viswanathan, Sangeetha
dc.date.accessioned 2024-10-28T06:12:57Z
dc.date.available 2024-10-28T06:12:57Z
dc.date.issued 2015
dc.identifier.uri https://indjst.org/articles/review-of-image-fusion-techniques-and-evaluation-metrics-for-remote-sensing-applications
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16254
dc.description.abstract Low resolution Multispectral images obtained from earth observation satellite interpreted directly have less information whichisnot suitable for remote sensing applications.The advancement of sensors onboardsatellitesprovidespanchromatic imageswhich have more image details and low-resolution MS images lead theway for the researchers to develop algorithms suitable for fusing multi-sensor images which can improve the resolution of the MS images. In this paper review on various pixel based fusion algorithms and evaluation metrics are presented. From the literature review, it is inferred that the Multi resolution techniques will give better accuracy than all other traditional algorithms. en_US
dc.language.iso en en_US
dc.publisher Indian Journal of Science and Technology en_US
dc.subject Computer Science en_US
dc.subject Evaluation metrics en_US
dc.subject Fusion Algorithms en_US
dc.subject Fusion Transforms en_US
dc.subject Image fusion en_US
dc.subject Remote Sensing en_US
dc.title Review of Image Fusion Techniques and Evaluation Metrics for Remote Sensing Applications en_US
dc.type Article en_US


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