Open Access

ARTICLE

Location Related Signals with Satellite Image Fusion Method Using Visual Image Integration Method

G. Ravikanth^1,∗, K. V. N. Sunitha^2,†, B. Eswara Reddy³

1 Professor, BVC College of Engineering, Palacharla, Rajahmundry, Andhra Pradesh, India
2 Professor & Principal, BVRIT Hyderabad college of Engineering for Women, Bachupally, Hyderabad, Telangana-India
3 Professor & Director, Software Development Centre, JNT University, Ananthapuramu, Andhra Pradesh, India
∗ garladinne.ravikanth@gmail.com
† k.v.n.sunitha@gmail.com

Computer Systems Science and Engineering 2020, 35(5), 385-393.

Abstract

Investigations were performed on a group utilizing (General Purpose Unit) GPU and executions were evaluated for the utilization of the created parallel usages to process satellite pictures from satellite Landsat7.The usage on a realistic group gives execution change from 2 to 18 times. The nature of the considered techniques was assessed by relative dimensionless global error in synthesis (ERGAS) and Quality Without Reference (QNR) measurements. The outcomes demonstrate execution picks ups and holding of value with the bunch of GPU contrasted with the outcomes and different analysts for a CPU and single GPU. The errand of upgrading the view of a scene by combining data caught from various picture sensors is usually known as multisensor picture combination. This paper displays a territory based picture combination calculation to consolidate SAR (Synthetic Aperture Radar) and optical pictures. The co-enlistment of the two images is first led utilizing the proposed enrollment method prior to picture combination. The paper displays a parallel execution of existing picture combination techniques on a graphical group. Parallel executions of techniques in view of discrete wavelet changes are created. Division into dynamic and motionless regions is then executed on the SAR surface picture for particular injection of the SAR picture into panchromatic (PAN) picture. An integrated image in view of these two pictures is produced by the novel region based combination plot, which forces diverse combination rules for each fragmented region. At long last, this picture is melded into a multispectral(MS) picture through the half breed skillet honing technique proposed in past research. Exploratory outcomes exhibit that the proposed strategy demonstrates preferred execution over different fusion algorithms and can possibly be connected to the multisensory combination of SAR and optical pictures.

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Keywords

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