April 18, 2024, 4:45 a.m. | Biyuan Liu, Huaixin Chen, Kun Li, Michael Ying Yang

cs.CV updates on arXiv.org arxiv.org

arXiv:2310.09276v3 Announce Type: replace
Abstract: Change detection plays a fundamental role in Earth observation for analyzing temporal iterations over time. However, recent studies have largely neglected the utilization of multimodal data that presents significant practical and technical advantages compared to single-modal approaches. This research focuses on leveraging {pre-event} digital surface model (DSM) data and {post-event} digital aerial images captured at different times for detecting change beyond 2D. We observe that the current change detection methods struggle with the multitask conflicts …

abstract advantages arxiv change constraints cs.cv data detection digital earth earth observation event however modal multimodal multimodal data observation practical research role studies surface technical temporal transformer type

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