• Sujata D. More
• Dr. Meenakshi S. Arya

In alteration discovery analysis, image misalignment has still remained a pesky issue, although how correct such discovery would be is entirely determined by the accuracy of image registration. If the procedure of alteration detection is done on images that are not aligned properly, problems may accrue in the form of missed or wrong alterations. This, in turn, will have an adverse effect on the correctness of actual detection of change. This paper sheds light on the recognition of change technique that aims to curtail the influence exerted by improper alignment of images. And to effect this, the method of detecting alternations or changes based on pixel has been accepted as the most effective. This is so because this method deals with errors arising out of mis-registration most effectively. The technique proposed here involves image stitching by combining two or more images of the same scene as a single larger image. Block matching technique is a way of locating matching blocks in a sequence of image for the purpose of image estimation. To spot the alteration in image, image differencing is employed. That this method gives top rate of accuracy is conclusively proven by the experimental results.

Image stitching, Spatial co-ordinates, Pixel based change detection, Remote sensing, Block matching, Multi temporal image, SSIM.

"Change Detection of Multi-Sensor Data by Using Pixel Block Localization Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.338-343, May-2019, Available :http://www.jetir.org/papers/JETIRBM06053.pdf

"Change Detection of Multi-Sensor Data by Using Pixel Block Localization Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp338-343, May-2019, Available at : http://www.jetir.org/papers/JETIRBM06053.pdf