Spatial Enhancement of Multispectral Images on Urban Areas

Yang, Xiaojun (Herausgeber:in) / Aiazzi, Bruno (Autor:in) / Baronti, Stefano (Autor:in) / Capobianco, Luca (Autor:in) / Garzelli, Andrea (Autor:in) / Selva, Massimo (Autor:in)

Urban Remote Sensing ; 141-154

15.04.2011

14 pages

9780470979563 , 9780470749586

https://doi.org/10.1002/9780470979563.ch10

Aufsatz/Kapitel (Buch)

Elektronische Ressource

Englisch

general frameworks of component substitution and multiresolution analysis ‐ compared with well established Gram‐Schmidt Pan‐sharpening algorithm , spatial enhancement of multispectral images on urban areas , spatial resolution, increase of recent satellite imagers ‐ IKONOS, QuickBird, Orbview, GeoEye‐1, World‐View , multiresolution fusion scheme ‐ powerful and efficient framework for MRA algorithms, represented by generalized Laplacian pyramid (GLP) decomposition , spatial enhancement, denoted as Pan‐sharpening ‐ spatial resolution of a multispectral (MS) image by means of a panchromatic (Pan) observation of scene , component substitution fusion methods ‐ CS techniques, linearly transforming MS data set into a more uncorrelated vector space , hybrid MRA, component substitution method ‐ a Pan‐sharpening algorithm for very‐high resolution , quality assessment, fusion evaluation ‐ underlying qualitative and quantitative assessments , quantitative results, in terms of quality ‐ with no reference (QNR) index, efficacy of selected algorithms in terms of spatial and spectral quality