Multi-Modal Deep Learning for Multi-Temporal Urban Mapping With a Partly Missing Optical Modality

no code implementations • 1 Jun 2023 • Sebastian Hafner, Yifang Ban

In addition, a reconstruction network is utilized to approximate the optical features based on the SAR data in case of a missing optical modality.

Investigating Imbalances Between SAR and Optical Utilization for Multi-Modal Urban Mapping

no code implementations • 11 Apr 2023 • Sebastian Hafner, Yifang Ban, Andrea Nascetti

In this paper, we investigate the utilization of SAR and optical data for urban mapping.

Mapping Urban Population Growth from Sentinel-2 MSI and Census Data Using Deep Learning: A Case Study in Kigali, Rwanda

1 code implementation • 15 Mar 2023 • Sebastian Hafner, Stefanos Georganos, Theodomir Mugiraneza, Yifang Ban

Since Post-Classification Comparison (PCC) methods for change detection are known to propagate the error of the individual maps, we propose an end-to-end population growth mapping method.

Change Detection Population Mapping

Urban Change Detection Using a Dual-Task Siamese Network and Semi-Supervised Learning

1 code implementation • 26 Apr 2022 • Sebastian Hafner, Yifang Ban, Andrea Nascetti

Second, SSL was adopted to improve supervised change detection.

Change Detection Decoder