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ADAPTIVE SCANNING FOR THE COMPRESSION OF REMOTE SENSING IMAGE

Mr. Nigam Yadav , Mr. Abhishek Yadav, Mr. Rakesh Jaiswar, Prof. Khalil Pinjari
Information technology, Theem College of Engineering, India
Vol. 5, Issue 4 pp. 278-281 🌐 Open Access

ABSTRACT

Remote sensing image compression technologies have been extensively studied in the past a few decades, and various algorithms have been developed accordingly. In this paper, we provide an overview of practically deployed remote sensing image compression using Binary Tree Coding. In the remote sensing applications compression method is most significant, using mean square error. In the vision based application, the PSNR is higher which shows the good visual quality. In existing compression methods it consider the human visual system for designing natural images, which does not consider the unique feature of remote sensing images. Based on this problem we consider human vision based adaptive scanning scheme for the application of remote sensing image compression.

Keywords: Remote Sensing Image, Matlab R2015b, Image Processing, Adaptive Scanning, Binary Tree Coding

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Vol. 9 | Issue 12 | December