Analysis of various change detection techniques using satellite images

Change detection implies quantifying temporal effects using multi temporal dataset. The Remote sensing data has become a heart of change detection technique because of its high temporal frequency, digital computation, synoptic view and wider selection of spatial and spectral resolution. The general objectives of change detection in remote sensing include recognizing the geographical location and type of changes, quantifying the changes, and assessing the accuracy of change detection results. In this paper analyses the various change detection techniques using satellite images. Three remote sensing techniques, including Image Differencing, Principal Component Analysis and Change Vector Analysis used to detect the changes. To carry out these techniques, Landsat8 satellite images were used to recognize changes in study area. The efficiency of these method in study area were compared using post classification method and carry out accuracy assessment. The results shows that change vector analysis perform better for change detection to other methods.