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, ...

Pan-sharpening, a critical technology in remote sensing image processing, combines high-resolution panchromatic images with low-resolution multispectral images to produce detailed high-resolution ...

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 ...

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 ...

The “Hyperspectral Remote Sensing” team provides methods and products for optical imaging sensors on satellites and aircrafts. In the area of spaceborne missions, operational fully-automated systems ...

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

Fethi Bengil, K. Can Bizsel, Assessing the impact of aquaculture farms using remote sensing:, Aquaculture Environment Interactions, Vol. 6, No. 1 (2014), pp. 67-79 ...

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 ...