Open AccessChange Detection in SAR Images using Image Fusion and Supervised Classifier
Author(s) -
Mr. K.R. Khandarkar*,
Sharvari Tamane
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d8779.059120
Subject(s) - artificial intelligence , pattern recognition (psychology) , computer science , image fusion , classifier (uml) , computer vision , fusion , image denoising , noise reduction , image (mathematics) , philosophy , linguistics
The paper proposes an approach based on a fusion object and a supervised classification system to improve detection for SAR images. Here we are using CNN denoising method for removing noise in the input image. Then information from first image is processed using mean_ratio operator. Second image is processed by log ratio operator. These two images are fused using PCA algorithm and the output is provided to KNN supervised classifier for finding change detection in the image.