Paper Info
Title
Super-resolution imaging using remote sensing platform
Abstract
Super-resolution framework is applied to airplane and satellite imagery to enhance the spatial property of multiple acquisition images. By using the brightness control, the differences caused by spectral and geometric configuration are adjusted. Subpixel shift is accurately obtained by phase correlation technique. Blur properties caused by pushbroom scanning systems are modeled using anisotropic functions. Maximum a posterior (MAP) solution is used to estimate high resolution images. Sequential airplane photo and ASTER imagery are used to apply the proposed methodology. The validity of the model is shown by checking the visual properties of reconstructed images, which is clearly observed on the edge response of buildings and piers.
Year
DOI
Venue
2014
10.1109/IGARSS.2014.6946851
Geoscience and Remote Sensing Symposium
Keywords
Field
DocType
edge detection,geometry,geophysical image processing,geophysical techniques,image reconstruction,image resolution,image sequences,remote sensing,ASTER imagery,airplane imagery,anisotropic functions,blur properties,brightness control,buildings,correlation technique,edge response,geometric configuration,maximum a posterior solution,multiple acquisition images,piers,pushbroom scanning systems,reconstructed images,remote sensing platform,satellite imagery,sequential airplane photo,spectral configuration,subpixel shift,superresolution imaging framework,visual properties,ASTER,HISUI,Pushbroom,Resolution enhancement,Super-resolution
Computer vision,Aster (genus),Anisotropy,Satellite imagery,Computer science,Remote sensing,Airplane,Artificial intelligence,Subpixel rendering,Superresolution,Phase correlation,Brightness
Conference
ISSN
Citations 
PageRank 
2153-6996
2
0.53
References 
Authors
2
2
Name
Order
Citations
PageRank
Shinji Nakazawa120.53
akira iwasaki219316.71