ADAPTIVE SCANNING FOR THE COMPRESSION OF REMOTE SENSING IMAGE

Authors

  • Mr. Nigam Yadav Information technology, Theem College of Engineering
  • Mr. Abhishek Yadav Information technology, Theem College of Engineering
  • Mr. Rakesh Jaiswar Information technology, Theem College of Engineering
  • Prof. Khalil Pinjari Information technology, Theem College of Engineering

Keywords:

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

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.

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Published

2018-04-25

How to Cite

Mr. Nigam Yadav, Mr. Abhishek Yadav, Mr. Rakesh Jaiswar, & Prof. Khalil Pinjari. (2018). ADAPTIVE SCANNING FOR THE COMPRESSION OF REMOTE SENSING IMAGE. International Journal of Advance Research in Engineering, Science & Technology, 5(4), 278–281. Retrieved from https://ijarest.org/index.php/ijarest/article/view/1462

Issue

Vol. 5 No. 4 (2018): Volume: 05, Issue: 04 - April, 2018.

Section

Articles