We present a quantum-assisted data authentication protocol that integrates classical information-theoretic security with quantum communication techniques. We assume only that the participants have access to open classical and quantum channels, and share a random static key material. Building on the Wegman–Carter paradigm, our scheme employs universal hashing for message authentication and leverages quantum channels to securely transmit random nonces, eliminating the need for key recycling. The protocol utilizes polar codes within Wyner’s wiretap channel model to ensure confidentiality and reliability, even in the presence of an all-powerful adversary. Security analysis demonstrates that the protocol inherits strong guarantees from both classical and quantum frameworks, provided the quantum channel maintains low loss and noise.

Extraction of building footprints from freely available, high temporal resolution satellite imagery is important for applications ranging from disaster response to monitoring informal settlements. While Sentinel-2 is globally available, limited spatial resolution restricts the reliable detection of small or densely packed structures. We propose a novel framework that re-targets a super-resolution backbone (ESRGAN) to generate cartographic map-style outputs directly and fuses it with a semantic segmentation network through joint training. Unlike pipelines treating super-resolution and detection as sequential tasks, our approach leverages map-centric supervision, unifying enhancement and building delineation. For evaluation, we introduce the S2-BDOT-PL dataset, integrating Sentinel-2 imagery with OpenStreetMap and BDOT10k ground truth. Results demonstrate improved precision and robustness in small-building detection compared to native resolution baselines.