A Survey on Image Registration Methods for Satellite Images

Authors

  • Chatla Sowmya  M. Tech, CSE, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, Telangana, India
  • Dr. Ch. Mallikarjuna Rao  Professor & Head, CSE, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, Telangana, India

Keywords:

IA: Image Analysis, IR: Image Registration, Centroids, Euclidean Distance, Image Segmentation, and Scale Invariant Feature Transform

Abstract

Image Registration (IR) involved a prevailing part in the digital Image preparing in general and Image analysis in particular. Image Registration is a procedure of changing distinctive arrangements of information into one facilitate framework, and information might be from various photos, diverse times, depths and viewpoints and perspectives, and along these lines adjusting to screen the unpretentious contrasts between at least two images. The improvement of IR procedures and registration is highly difficult because it is required to find spatial correspondences among images. Image registration procedures are required as well as basically important to look at information and images acquired from various estimations in light of their application necessities. Because of its high potential necessity for examine, there is a need to do an examination study on Image Registration strategies with a specific end goal to comprehend the marvel of Image Registration and its execution systems. This study accentuates Image Registration as the most fundamental piece of all panoramic image generation & creation, where applications and utilizations are impossible for scientists aching to concoct and execute elective image registration techniques from general to particular to complex applications.

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Published

2017-12-31

Issue

Section

Research Articles

How to Cite

[1]
Chatla Sowmya, Dr. Ch. Mallikarjuna Rao, " A Survey on Image Registration Methods for Satellite Images , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.1244-1250, November-December-2017.