a crucial limitation for on board remote sensing data compression. To address these issues, a reduced-complexity multispectral and hyperspectral data compression architecture is proposed. Using ...
and multispectral (MS) data, which has provided new opportunities and challenges for multi-source information fusion and classification research. Remote sensing data has the characteristics of small ...
This research showcases AI-powered drones that automate airfield assessments, using deep learning and hyperspectral imaging ...
Sentera Sensors & Drones proudly announces that its 6X Thermal and 6X Thermal Pro sensors are now officially listed in the Thermal by FLIR program, reinforcing their status as the premier ...
In contrast, remote sensing technologies, such as satellite-based multispectral imaging and UAV-based sensors, offer a significant breakthrough. These tools provide comprehensive, high-resolution, ...
The Global Commercial Satellite Imaging market is projected to grow significantly, from USD 5,869.5 Million in 2025 to USD 15 ...
This Research Topic aims to bridge the gap by highlighting innovative methodologies and applications of high-resolution ...
A research team, led by Prof. Meng Qingyan from the Aerospace Information Research Institute of the Chinese Academy of ...
Project Director Sensors-Aerial Intelligence (PD SAI) said farewell to Product Lead for Multi-Domain Sensing System (PdL MDSS ...
High sampling rates are feeding a new class of AI models, which the companies say can operate efficiently within the meter ...
Affordable sensing system to restore sense of touch in minimally invasive surgery. ScienceDaily . Retrieved March 26, 2025 from www.sciencedaily.com / releases / 2025 / 03 / 250324181537.htm ...