UNIFY.C2 Integrates Dronetag Remote ID Capabilities to Expand Integrated Airspace Awareness and Counter-UAS Operations

Advancing open-architecture C-UAS operations by fusing Dronetag’s Remote ID data into a single, mission-ready airspace ...

UNIFY.C2 and Sentrycs Partner to Deliver Protocol-Based C-UAS Mitigation Through a Single Command-and-Control Interface

The partnership brings protocol-based mitigation into UNIFY.C2’s interoperable platform, giving agencies a scalable, ...
IEEE

A Unified Super-Resolution Framework of Remote-Sensing Satellite Images Classification Based on Information Fusion of Novel Deep Convolutional Neural Network Architectures

Abstract: Land-use and land-cover (LULC) classification is an active research challenge in the area of remotely sensed satellite images due to critical applications, such as resource management and ...
IEEE

CMID: A Unified Self-Supervised Learning Framework for Remote Sensing Image Understanding

Abstract: Self-supervised learning (SSL) has gained wide-spread attention in the remote sensing (RS) and Earth observation (EO) communities owing to its ability to learn task-agnostic representations ...