M
Muhammad Murtaza Khan
Researcher at University of the Sciences
Publications - 62
Citations - 1133
Muhammad Murtaza Khan is an academic researcher from University of the Sciences. The author has contributed to research in topics: Image resolution & Image fusion. The author has an hindex of 14, co-authored 60 publications receiving 922 citations. Previous affiliations of Muhammad Murtaza Khan include IT University & Centre national de la recherche scientifique.
Papers
More filters
Journal ArticleDOI
Indusion: Fusion of Multispectral and Panchromatic Images Using the Induction Scaling Technique
TL;DR: In the first part of this letter, the use of the Induction scaling technique instead of bicubic interpolation is proposed to obtain sharper, better correlated, and hence better coregistered upscaled images.
Journal ArticleDOI
Pansharpening Quality Assessment Using the Modulation Transfer Functions of Instruments
TL;DR: A method to assess fusion quality at the highest resolution, without requiring a high-resolution reference image, is proposed by developing a pansharpening method optimizing the QNR spatial index and assessing the quality of fused images by using the proposed protocol.
Journal ArticleDOI
Improving MODIS Spatial Resolution for Snow Mapping Using Wavelet Fusion and ARSIS Concept
TL;DR: The results showed an improvement from 3% to 20%.
Journal ArticleDOI
A Tone-Mapping Technique Based on Histogram Using a Sensitivity Model of the Human Visual System
Ishtiaq Rasool Khan,Susanto Rahardja,Muhammad Murtaza Khan,Muhammad Mobeen Movania,Fidaa Abed +4 more
TL;DR: Quality assessment using both quantitative evaluations and user studies suggests that the presented algorithm produces tone-mapped images that are visually pleasant and preserve details of the original image better than the existing methods.
Journal ArticleDOI
Fusion of hyperspectral and panchromatic images using multiresolution analysis and nonlinear PCA band reduction
Giorgio Licciardi,Muhammad Murtaza Khan,Jocelyn Chanussot,Annick Montanvert,Laurent Condat,Christian Jutten +5 more
TL;DR: A pan-sharpening technique combining both dimensionality reduction and fusion, making use of non-linear principal component analysis (NLPCA) and Indusion, respectively, to enhance the spatial resolution of a HS image is proposed.