Effective Technique Based on Intensity Huge Saturation and Standard Variation for Image Fusion of Satellite Images
M Purushotham Reddy1, K Srinivasa Reddy2, L Lakshmi3, A. Mallikarjuna Reddy4
1M Purushotham Reddy, Department of Information Technology, Associate Professor, Institute of Aeronautical Engineering, Hyderabad (Telangana), India.
2K Srinivasa Reddy, Department of Information Technology, Professor, Institute of Aeronautical Engineering, Hyderabad (Telangana), India.
3L Lakshmi, Department of Computer Science & Engineering, Associate Professor, MLR Institute of Technology, Hyderabad (Telangana), India.
4A. Mallikarjuna Reddy, Department of Computer Science & Engineering, Associate Professor, Anurag Group of Institutions Hyderabad (Telangana), India.
Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 291-295 | Volume-8 Issue-5, June 2019 | Retrieval Number: E6898068519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Image fusion is combining the images for the benefit of information obtained from multiple domains. The purpose of image fusion is to extract the necessary data from multiple images to create composite images. The fused images are to occupy less space for storage, less bandwidth for transmission and less time for transmission of images. The Multi-Spectral satellite images contain several groups of the low resolution and the limited data. These groups’ images and Panchromatic images merge into a fused image that has common data for all the groups, but existing image fusion techniques are influenced by the colour degradation. The purpose of the study is to enhance the spectral and the spatial data of the satellite images using IHS and standard variation method. In this paper, we investigated groupings of the estimations that are used to calculate the execution of the entwined image things. The proposed technique shows the superior performance than the existing image fusion methods.
Keywords: Image Fusion, Standard Variation, Satellite Images, Multi-Spectral Images, Panchromatic Images.
Scope of the Article: Image Analysis