EDIBLE GARDEN CITIES: RETHINKING BOUNDARIES AND INTEGRATING HEDGES INTO SCALABLE URBAN FOOD SYSTEMS


Gamma norm minimization based image denoising algorithm

Focusing on the issue of rather poor denoising Dryer Motor Pulley performance of the traditional kernel norm minimization based method caused by the biased approximation of kernel norm to rank function,based on the low-rank theory,a gamma norm minimization based image denoising algorithm was developed.The noisy image was firstly divided into some o

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A COARSE-TO-FINE MODEL FOR AIRPLANE DETECTION FROM LARGE REMOTE SENSING IMAGES USING SALIENCY MODLE AND DEEP LEARNING

High resolution remote sensing images are bearing the Rugs important strategic information, especially finding some time-sensitive-targets quickly, like airplanes, ships, and cars.Most of time the problem firstly we face is how to rapidly judge whether a particular target is included in a large random remote sensing image, instead of detecting them

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Assessing Daily Evapotranspiration Methodologies from One-Time-of-Day sUAS and EC Information in the GRAPEX Project

Daily evapotranspiration (ETd) plays a key role in irrigation water management and is particularly important in drought-stricken areas, such as California and high-value crops.Remote sensing allows for the cost-effective estimation of spatial evapotranspiration (ET), and the advent of small unmanned aerial systems (sUAS) technology has made it poss

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