Feature discrimination is a critical component in large scale satellite image browsing and retrieval, as well as in other areas of remote sensing. As many satellite images are multi-spectral, the spectral information should be exploited for efficient browsing and retrieval. In this aspect, color is a suitable candidate to represent the spectral contents. This paper presents an efficient algorit...

Algorithms for integrating color imagery with grayscale imagery have long been an important feature of many remote sensing (RS) image analysis and geographic information systems (G S). Traditional methods for data integration include Red-Green-Blue (RGB) /Hue-Saturation-Value (HSV) transformation and RGB modulation. However, these techniques are either inflexible or present a compromise between...

In this paper we present the utilization of high-spectral resolution imagery for improving low-spectral resolution imagery. In our analysis, we assume that an acquisition of high spectral resolution images provides more accurate spectral predictions of low spectral resolution images than a direct acquisition of low spectral resolution images. We illustrate the advantages by focusing on a specif...

JS was a grapheme-color synesthete in whom numerals and letters of the alphabet consistently evoked colors. In the first set of experiments we showed that the color - in a consistent and reliable manner - was most pronounced in the left visual field and in central vision. In the second experiment we devised a novel test for eidetic imagery and showed that his self-report of enhanced imagery cou...

As captured imagery grows in resolution to gigapixels, increases in dynamic range beyond what can be displayed, and encompasses wider fields of view, there is a need for the viewer of such imagery to take on many of the roles traditionally relegated to the camera. Fully exploring such imagery requires a software camera. One such software camera is HD View. We discuss the need for the evolution ...

The Geostationary Ocean Color imager (GOCI) is the first geostationary ocean color satellite sensor that collects hourly images eight times per day during daylight. This high frequency image acquisition makes it possible to study more detailed dynamics of red tide blooms, sediment plumes, and colored dissolved organic matter plumes, and can aid in the prediction of biophysical phenomena. We app...

A target recognition capability is described that performs: color target detection, target type and pose hypothesis generation, and target type veri cation by 3-D alignment of target models to range and electro-optical imagery. The term `coregistration' is introduced to describe target, range and electro-optical (color and IR) sensor alignment correction. Online model feature prediction using 3...

Color transfer methods alter the look of a source image with regards to a reference image. So far, the proposed color transfer methods have been limited to low-dynamic-range (LDR) images. Unlike LDR images, which are display-dependent, high-dynamic-range (HDR) images contain real physical values of the world luminance and are able to capture high luminance variations and nest details of real wo...

Fusion techniques can be applied to multispectral and higher spatial resolution panchromatic images to create a composite image that is easier to interpret than the individual images. Wavelet transform-based multisensor, multiresolution fusion (a type of band sharpening) was applied to Landsat thematic mapper (TM) multispectral and coregistered higher resolution SPOT panchromatic images. The ob...