Algorithms for efficient multi-temporal change detection in SAR imagery

Abstract

Advancements in the tasking and collection capabilities of SAR providers have reduced the spatiotemporal constraints on SAR-based change detection. As data constraints are relaxed, pairwise SAR-based change detection algorithms are rapidly becoming insufficient for summarizing change activity. To address this, we present two multi-temporal change detection algorithms that categorize, filter, and reduce the changes detected in any number of repeat pass SAR scenes: (1) Object Permanence change detection (OPcd); and (2) Activity Exclusion change detection (AEcd). When compared to traditional pairwise change detection methods, OPcd and AEcd allow for rapid digestion and efficient visualization of changes.