Compressed sensing technology is a novel signal processing theory that enables sampling and reconstruction of signals at rates far below the Nyquist sampling theorem. The EALISTA algorithm, as a key ...

SPECIAL ISSUE NO. 103. Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering (SUMMER 2020), pp. 943-946 (4 pages) Published By: Coastal Education & Research Foundation, ...

A research team led by Prof. XIE Chengjun and ZHANG Jie from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, developed a frequency domain-independent feature learning ...

A two-year study using AI-based satellite imagery has concluded that the number of wildebeests migrating annually across the Serengeti-Mara ecosystem is less than 600,000. This figure is only half of ...

The ability to monitor soil moisture at high resolutions is crucial for improving agricultural productivity, water resource ...

Several Split Window algorithms have been successfully applied to infrared satellite data (e.g. MODIS, VIIRS) for the estimation of land surface temperature. This research focuses on creating a Split ...

Aquaculture Environment Interactions, Vol. 6, No. 1 (2014), pp. 67-79 (13 pages) ABSTRACT: The potential impact of aquaculture on Ildırı Bay, Turkey, was assessed using remote sensing data collected ...

What if plants could speak when they were thirsty? Agriculture, in essence, is a dialog among crops, soil and climate. Yet ...

Algorithms developed by RIT in collaboration with the National Gallery of Art, and their associated reference data sets, have been optimized using reflectance image cubes collected from early Italian ...