Pixel based change detection using an ensemble of fuzzy and binary logic operations

Change detection from bitemporal satellite images (taken from the same region in different times) may be used in various applications such as forest monitoring, earthquake damage assessment, and unlawful occupation. There are various approaches to detect changes from satellite images. One set of methods utilizes pixel based operations. In this study, we propose an alternative method for pixel based change detection using an ensemble of fuzzy and binary logic operations. We tested our method on 18 Ikonos image pairs and discuss its strengths and weaknesses compared to the existing methods in the literature.