Algorithms for efficient multi-temporal change detection in SAR imagery

Michael Allen; Justyna W. Kosianka; Mark Perillo

doi:10.1117/12.2663997

13 June 2023 Algorithms for efficient multi-temporal change detection in SAR imagery

Michael Allen, Justyna W. Kosianka, Mark Perillo

Proceedings Volume 12520, Algorithms for Synthetic Aperture Radar Imagery XXX; 125200D (2023) https://doi.org/10.1117/12.2663997
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

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.

Conference Presentation

Citation Download Citation

Michael Allen, Justyna W. Kosianka, and Mark Perillo "Algorithms for efficient multi-temporal change detection in SAR imagery", Proc. SPIE 12520, Algorithms for Synthetic Aperture Radar Imagery XXX, 125200D (13 June 2023); https://doi.org/10.1117/12.2663997

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