Güneş Sali, Aysel Köksal Akyol
CREATIVITY OF PRESCHOOL AND ELEMENTARY SCHOOL TEACHERS AND THEIR STUDENTS
Perceptual and motor skills
shadow one fundamental indicators remote sensing image could cause loss interference target data result detection removal shadow already hotspot current study complicated background information following passage model combining atmospheric transport model hereinafter abbreviated atm poisson equation ap shadownet proposed shadow detection removal remote sensing images unsupervised learning network based preprocessing network based atm net network based poisson equation p net firstly corresponding mapping shadow unshaded area generated atm brightened image enter confrontation identification p net lastly reconstructed image optimized color consistency edge transition poisson equation present shadow removal models based neural networks significantly datadriven fortunately model passage unsupervised shadow detection removal could released data source restrictions remote sensing images verifying shadow removal model result shows satisfying effect qualitative quantitative angle qualitative point view results prominent effect tone consistency removal detailed shadows quantitative point view adopt nonreference evaluation indicators gradient structure similarity nrss natural image quality evaluator niqe combining various evaluation factors reasoning speed memory occupation shows outstanding among current algorithms