Fusion of multispectral and panchromatic Satellite images using the curvelet transform

By Myungjin Choi, R. Kim, Myeong-Ryong Nam, Hong Oh Kim. IEEE Geoscience and Remote Sensing Letters, 2005

371 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Media Technology

View Paper: https://www.semanticscholar.org/paper/22e65c10b0e084c1d5f5bd8ea9f5bdd00b23725d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

In Media Technology

Citations in the corpus

Synthesis of Multispectral Images to High Spatial Resolution: A Critical Review of Fusion Methods Based on Remote Sensing Physics (2008, background): “In all these formalisms, the fused MS product is a function of this linear combination and of the Pan image as well.”
Remote sensing image fusion using the curvelet transform (2007, background): “However, to increase its specificity, it would be desirable to calculate such a model in a different domain, in which linear structures that are injected are represented by few sparse coefficients [20] [21] [22].”
The Curvelet Transform (2010, methodology): “The applications of the first-generation curvelets were extended to image contrast enhancement [62] and astronomical image representation [61] in 2003, and to fusion of satellite images [17] in 2005.”
Image Fusion Algorithm Based on Spatial Frequency-Motivated Pulse Coupled Neural Networks in Nonsubsampled Contourlet Transform Domain (2008, background): “Thus, new MSD transforms are introduced in image fusion (i.e. bandelet [5] , curvelet [6] , contourlet [7] − [9] , etc.) to overcome the limits of wavelet.”
A review of remote sensing image fusion methods (2016, methodology): “Multiresolution analysis (MRA) Decimated wavelet transform [54], [55] Discrete “wavelet packet” [70] Undecimated wavelet transform [58] À trous [57],[59] Laplacian Pyramid [60] Contourlet [61],[62] Multicontourlet [69] Curvelet [63],[64] Curvelet and contourlet [67] Ripplet [65],[66] Multiresolution”
A new intensity-hue-saturation fusion approach to image fusion with a tradeoff parameter (2006, methodology): “2) RASE and the ERGAS: To estimate the global spectral quality of the fused images, the index of the RASE is expressed as a percentage [3]–[5], [7], [8].”