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

R  Sivagami; V  Vaithiyanathan; V  Sangeetha; M  Ifjaz Ahmed; K  Joseph Abraham Sundar and K  Divya Lakshmi

doi:10.17485/ijst/2015/v8i35/86677

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

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2015/v8i35/86677

Year: 2015, Volume: 8, Issue: 35, Pages: 1-7

Original Article

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

R. Sivagami ^* , V. Vaithiyanathan, V. Sangeetha, M. Ifjaz Ahmed, K. Joseph Abraham Sundar and K. Divya Lakshmi

School of Computing, SASTRA University, Thanjavur - 613402, Tamil Nadu, India;
[email protected], [email protected], [email protected], [email protected], [email protected], [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

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.
Keywords: Evaluation Metrics, Fusion Algorithms, Fusion Transforms, Image Fusion, Remote Sensing