In this paper, multivariate regression is adopted to improve spectral quality, without diminishing spatial in image fusion methods based on the well-established component substitution (CS) approach. A general scheme that capable of modeling any CS method presented and discussed. According scheme, a generalized intensity defined as weighted average multispectral (MS) bands. The weights are obtained coefficients between MS bands spatially degraded panchromatic (Pan) image, with aim capturing...

This paper compares two general and formal solutions to the problem of fusion multispectral images with high-resolution panchromatic observations. The former exploits undecimated discrete wavelet transform, which is an octave bandpass representation achieved from a conventional transform by omitting all decimators upsampling filter bank. latter relies on generalized Laplacian pyramid, another oversampled structure obtained recursively subtracting image expanded decimated lowpass version....

This work presents a multiresolution framework for merging multispectral image having an arbitrary number of bands with higher-resolution panchromatic observation. The fusion method relies on the generalized Laplacian pyramid (GLP), which is multiscale, oversampled structure. goal to selectively perform injection spatial frequencies from another constraint thoroughly retaining spectral information coarser data. novel idea that model modulation transfer functions (MTF) scanner exploited...

This paper introduces a novel approach for evaluating the quality of pansharpened multispectral (MS) imagery without resorting to reference originals. Hence, evaluations are feasible at highest spatial resolution panchromatic (PAN) sensor. Wang and Bovik’s image index (QI) provides statistical similarity measurement between two monochrome images. The QI values any couple MS bands calculated before after fusion used define spectral distortion. Analogously, each band PAN yield rationale is...

This letter focuses on quality assessment of fusion multispectral (MS) images with high-resolution panchromatic (Pan) observations. A new index suitable for MS imagery having four spectral bands is defined from the theory hypercomplex numbers, or quaternions. Both and radiometric distortion measurements are encapsulated in a unique measurement, simultaneously accounting local mean bias, changes contrast, loss correlation individual bands, together distortion. Results presented discussed very...

This paper aims at defining a new paradigm (hypersharpening) in remote sensing image fusion. In fact, due to the development of instruments, thinking only terms pansharpening is reductive. Even though some expressions as hyperspectral (HS) already exist, there not suitable definition when multispectral/hyperspectral data are used source extract spatial details. After hypersharpening framework, we draw readers' attention its peculiar characteristics, by proposing and evaluating two methods....

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> Multiresolution analysis (MRA) and component substitution (CS) are the two basic frameworks to which image fusion algorithms can be reported when merging multispectral (MS) panchromatic (Pan) images (pansharpening), acquired with different spatial spectral resolutions. State-of-the-art add details extracted from Pan into MS data set by considering injection strategies. The capability of...

In this paper, the characteristics of multispectral (MS) and panchromatic (P) image fusion methods are investigated. Depending on way spatial details extracted from P, pansharpening can be broadly labeled into two main classes, corresponding to based either component substitution (CS) or multiresolution analysis (MRA). Theoretical investigations experimental results evidence that CS-based is far less sensitive than MRA-based to: 1) registration errors, i.e., misalignments between MS P...

The majority of multispectral (MS) pansharpening methods may be labeled as spectral or spatial, depending on whether the geometric details that shall injected into interpolated MS bands are extracted from panchromatic (P) image by means a transformation pixels spatial P image, achieved linear shift-invariant digital filters. Spectral known component substitution; based multiresolution analysis (MRA). In this paper, authors show that, under most general conditions, MRA-based is characterized...

Image spectroscopy (IS) is an important tool for the noninvasive analysis of works art. It generates a wide sequence multispectral images from which reflectance spectrum each imaged point can be recovered. In addition, digital processing techniques employed to divide into areas similar spectral behavior. An IS system designed and developed in our laboratory described. The methodology used process acquired data integrates with statistical image processing: particular, potential...

This work presents a novel multisensor image fusion algorithm, which extends panchrmomatic sharpening of multispectral (MS) data through intensity modulation to the integration MS and synthetic aperture radar (SAR) imagery. The method relies on SAR texture, extracted by ratioing despeckled its low-pass approximation. texture is used modulate generalized (GI) image, given linear transform extending intensity-hue-saturation an arbitrary number bands. Before modulation, GI enhanced injection...

A nonparametric method for unsupervised change detection in multipass synthetic aperture radar (SAR) imagery is described. The relies on a novel feature capturing the structural between two SAR images and robust to statistical that may be originated by speckle coregistration inaccuracies. proposed starts from scatterplot of amplitude levels applies mean-shift (MS) algorithm find modes underlying bivariate distribution. If we assume have been preliminarily coregistered calibrated one another,...

Quality assessment of pansharpened images is traditionally carried out either at degraded spatial scale by checking the synthesis property ofWald’s protocol or full separately spectral and consistencies. The distortion QNR Khan’s may be combined into a unique quality index, referred to as hybrid (HQNR), that calculated scale. Alternatively, multiscale measurements indices requiring reference, like SAM, ERGAS Q4, extrapolated yield measurement fusion product, where reference does not exist....

This work presents a viable solution to the problem of merging multispectral image with an arbitrary number spectral bands higher-resolution panchromatic observation. The proposed method relies on generalized Laplacian pyramid, which is multiscale oversampled structure in spatial details are mapped different scales. goal selectively perform spatial-frequencies spectrum substitution from another constraint thoroughly retaining information coarser data. To this end, vector injection model has...

In this work, the authors investigate behaviors of two main classes pansharpening methods: those based on component substitution (CS) or spectral methods and multiresolution analysis (MRA) spatial methods, in presence temporal and/or instrumental misalignments between multispectral (MS) panchromatic (Pan) data sets, that is, whenever MS Pan are not jointly acquired at same time from platform. Starting mathematical formulation CS MRA model channels, estimated through multivariate linear...

Abstract The potential of synthetic aperture radar (SAR) in monitoring soil and vegetation parameters is being evaluated extensive investigations, worldwide. A significant experiment on this subject, the Multi-sensor Airborne Campaign (MAC 91), was carried out summer 1991 several sites Europe, based NASA/JPL polarimetric (AIR-SAR). site Montespertoli (Italy) imaged three times during campaign at P-, L-, C-band different incidence angles between 20° 50°. Calibrated full data collected over...

Near-lossless compression yielding strictly bounded reconstruction error is proposed for high-quality of remote sensing images. A classified causal differential pulse code modulation scheme presented optical data, either multi/hyperspectral three-dimensional (3-D) or panchromatic two-dimensional (2-D) observations. It based on a linear-regression prediction, followed by context-based arithmetic coding the outcome prediction errors and provides excellent performances, both reversible...

This paper describes an original application of fuzzy logic to the reversible compression multispectral data. The method consists a space spectral varying prediction followed by context-based classification and arithmetic coding outcome residuals. Prediction pixel be encoded is obtained from fuzzy-switching set linear regression predictors. Pixels both on current band previously bands may used define causal neighborhood. coefficients each predictor are calculated so as minimize mean-squared...

Speckle filtering in synthetic aperture radar (SAR) images is a key point to facilitate applicative tasks. A filter aimed at speckle reduction should energetically smooth homogeneous regions, while preserving targets, edges, and linear features. compromise, however, be arranged on textured areas. In this work, ratio Laplacian pyramid (RLP) introduced match the signal-dependent nature of noise. Local statistics applied different spatial resolutions RLP speckled image. For natural scenes, each...

A novel method for estimating the shape factor of a generalized Gaussian probability density function (PDF) is presented and assessed. It relies on matching entropy modeled distribution with that empirical data. The entropic approach suitable real-time applications yields results are accurate also low values small data sample. Modeling wavelet coefficients coding addressed experimental true image reported discussed.

The definition of noise models suitable for hyperspectral data is slightly different depending on whether whiskbroom or push-broom are dealt with. Focussing the latter type (e.g., VIRS-200) intrinsically non-stationary in raw digital counts. After calibration, i.e. removing variability effects due to gains and offsets detectors, will exhibit stationary statistics, at least spatially. Hence, separable 3D processes correlated across track (x), along (y) wavelength (?), modelled as...