Model based analysis or explicit definition/listing of all models or assumptions used in the derivation of an image fusion method allows us to understand the rationale or properties of existing methods and shows a way for a proper usage or proposal/selection of new methods ‘better’ satisfying the needs of a particular application. Most existing pan-sharpening methods are based mainly on the two...

Intensity-Hue-Saturation (IHS) and Principal Component Analysis (PCA) are two famous methods to which image fusion algorithms can be reported when merging panchromatic (Pan) and multispectral (MS) images, acquired with different spatial and spectral resolutions. The IHS is a wellknown pan-sharpening approach widely used for its efficiency and high spatial resolution. However, it can distort the...

Hyperspectral imaging (HSI) has been used to perform objects identification and change detection in natural environment. Indeed, HSI provide more detailed information due to the high spectral, spatial and temporal resolution. However, the high spatial and spectral resolutions of HSI enable to precisely characterize the information pixel content. In this work, we are interested to improve the cl...

Abstract— In this paper, we present feedback retina model combined with IHS model for fusion of multispectral (SPOT) and panchromatic (IKONOS) images. Multispectral images are limited by low spatial resolution. So, combining of lowresolution multi-spectral and high-resolution panchromatic images is a way for improving the spatial quality of multispectral images. An ideal fusion process preserve...

The main objective of the remotely sensed data fusion is to create an integrated composite image of improved information and enhanced interpretability. This data have geospatial details about earth’s surface for substantial assessment of land resources and mineral exploration. Fusion of Visible-Infrared (VIR) and Synthetic Aperture Radar (SAR) images provides complementary data to increase the ...

The author documents health care disparities for American Indians and Alaska Natives (AIANs) and reports on progress made in the last five years to reduce or eliminate gaps in care. In examining the demographics of this group, she notes in particular a substantial urban AIAN population that is both understudied and which may be underserved by the traditional AIAN health care infrastructure. The...

In this paper we describe two projects relevant for automating user tasks. The first one, EUROHELP was aimed at tools and methods for developing Intelligent Help Systems (IHS). Experiences and accomplishments in this project shed light on understanding and monitoring task performance of users. The major bottleneck appears the lack of understanding of the content of user tasks, calling for resea...

A hybrid multiscale and multilevel image fusion algorithm for green fluorescent protein (GFP) image and phase contrast image of Arabidopsis cell is proposed in this paper. Combining intensity-hue-saturation (IHS) transform and sharp frequency localization Contourlet transform (SFL-CT), this algorithm uses different fusion strategies for different detailed subbands, which include neighborhood co...

In the field of the remote sensing, the introduction of high resolution satellite sensors has required the development of several data fusion approaches. Two kinds of images are usually acquired: multispectral and panchromatic. The first group has a lower spatial resolution but accurate spectral information while the second presents a higher spatial resolution with a longer band acquisition ran...

Melissa Strait, Sheida Rahmani, Daria Markurjev Faculty Advisor: Todd Wittman UCLA Department of Mathematics August 2008 Abstract Pan-sharpening combines a low-resolution color multispectral image with a high-resolution grayscale panchromatic image to create a high-resolution fused color image. In this paper we examine five different pan-sharpening methods: IHS, PCA, Wavelet fusion, P+XS, and V...