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Pansharpening
Pansharpening is a process of merging high-resolution panchromatic and lower resolution multispectral imagery to create a single high-resolution color image. Google Maps and nearly every map creating company use this technique to increase image quality. Pansharpening produces a high-resolution color image from three, four or more low-resolution multispectral satellite bands plus a corresponding high-resolution panchromatic band: Such band combinations are commonly bundled in satellite data sets, for example Landsat 7, which includes six 30 m resolution multispectral bands, a 60 m thermal infrared band plus a 15 m resolution panchromatic band. SPOT, GeoEye and Maxar commercial data packages also commonly include both lower-resolution multispectral bands and a single panchromatic band. One of the principal reasons for configuring satellite sensors this way is to keep satellite weight, cost, bandwidth and complexity down. Pan sharpening uses spatial information in ...
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Demosaicing
Demosaicing (or de-mosaicing, demosaicking), also known as color reconstruction, is a digital image processing algorithm used to reconstruct a full color image from the incomplete color samples output from an image sensor overlaid with a color filter array (CFA) such as a Bayer filter. It is also known as CFA interpolation or debayering. Most modern Digital camera, digital cameras acquire images using a single image sensor overlaid with a CFA, so demosaicing is part of the Color image pipeline, processing pipeline required to render these images into a viewable format. Many modern digital cameras can save images in a raw image format, raw format allowing the user to demosaic them using software, rather than using the camera's built-in firmware. Goal The aim of a demosaicing algorithm is to reconstruct a full color image (i.e. a full set of color triples) from the spatially undersampled Channel (digital image), color channels output from the CFA. The algorithm should have the foll ...
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Multispectral
Multispectral imaging captures image data within specific wavelength ranges across the electromagnetic spectrum. The wavelengths may be separated by filters or detected with the use of instruments that are sensitive to particular wavelengths, including light from frequencies beyond the visible light range (i.e. infrared and ultraviolet). It can allow extraction of additional information the human eye fails to capture with its visible receptors for red, green and blue. It was originally developed for military target identification and reconnaissance. Early space-based imaging platforms incorporated multispectral imaging technology to map details of the Earth related to coastal boundaries, vegetation, and landforms. Multispectral imaging has also found use in document and painting analysis. Multispectral imaging measures light in a small number (typically 3 to 15) of spectral bands. ''Hyperspectral imaging'' is a special case of spectral imaging where often hundreds of contig ...
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Image Fusion
The image fusion process is defined as gathering all the important information from multiple images, and their inclusion into fewer images, usually a single one. This single image is more informative and accurate than any single source image, and it consists of all the necessary information. The purpose of image fusion is not only to reduce the amount of data but also to construct images that are more appropriate and understandable for the human and machine perception. In computer vision, multisensor image fusion is the process of combining relevant information from two or more images into a single image. The resulting image will be more informative than any of the input images. In remote sensing applications, the increasing availability of space borne sensors gives a motivation for different image fusion algorithms. Several situations in image processing require high spatial and high spectral resolution in a single image. Most of the available equipment is not capable of providing ...
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Panchromatic
A panchromatic emulsion is a type of photographic emulsion that is sensitive to all wavelengths of visible light, and produces a monochrome photograph—typically black and white. Most modern commercially available film is panchromatic, and the technology is usually contrasted with earlier methods that cannot register all wavelengths, especially orthochromatic film. In digital imaging, a panchromatic sensor is an image sensor or array of sensors that combine the visible spectrum with non-visible wavelengths, such as ultraviolet or infrared. Images produced are also black and white, and the system is used for its ability to produce higher resolution images than standard digital sensors. Description A panchromatic emulsion renders a realistic reproduction of a scene as it appears to the human eye, although with no colors. Almost all modern photographic film is panchromatic. Some older types of film were orthochromatic and were not sensitive to certain wavelengths of light. As ...
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Google Maps
Google Maps is a web mapping platform and consumer application offered by Google. It offers satellite imagery, aerial photography, street maps, 360° interactive panorama, interactive panoramic views of streets (Google Street View, Street View), real-time traffic conditions, and route planner, route planning for traveling by foot, car, bike, air (in Software release life cycle#Beta, beta) and public transportation. , Google Maps was being used by over one billion people every month around the world. Google Maps began as a C++ desktop program developed by brothers Lars Rasmussen (software developer), Lars and Jens Eilstrup Rasmussen, Jens Rasmussen, Stephen Ma and Noel Gordon in Australia at Where 2 Technologies. In October 2004, the company was acquired by Google, which converted it into a web application. After additional acquisitions of a geospatial data visualization company and a real-time traffic analyzer, Google Maps was launched in February 2005. The service's Front and ...
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Landsat 7
Landsat 7 is the seventh satellite of the Landsat program. Launched on 15 April 1999, Landsat 7's primary goal is to refresh the global archive of satellite photos, providing up-to-date and cloud-free images. The Landsat program is managed and operated by the United States Geological Survey, and data from Landsat 7 is collected and distributed by the USGS. The NASA WorldWind project allows 3D images from Landsat 7 and other sources to be freely navigated and viewed from any angle. The satellite's companion, Earth Observing-1, trailed by one minute and followed the same orbital characteristics, but in 2011 its fuel was depleted and EO-1's orbit began to degrade. Landsat 7 was built by Lockheed Martin Space Systems. In 2016, NASA announced it planned to attempt the first ever refueling of a live satellite by refueling Landsat 7 in 2020 with the OSAM-1 mission. However after multiple delays, NASA announced the cancellation of OSAM-1 in March 2024. The mission officially ended in 2 ...
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SPOT (satellite)
SPOT (, lit. "Satellite for observation of Earth") is a commercial high-resolution optical Earth observation satellite system operating from space. It is run by Spot Image, based in Toulouse, France. It was initiated by the CNES (''Centre national d'études spatiales'' – the French space agency) in the 1970s and was developed in association with the SSTC (Belgian scientific, technical and cultural services) and the Swedish National Space Board (SNSB). It has been designed to improve the knowledge and management of the Earth by exploring the Earth's resources, detecting and forecasting phenomena involving climatology and oceanography, and monitoring human activities and natural phenomena. The SPOT system includes a series of satellites and ground control resources for satellite control and programming, image production, and distribution. Earlier satellites were launched using the European Space Agency's Ariane 2, 3, and 4 rockets, while SPOT 6 and SPOT 7 were launched by ...
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GeoEye
GeoEye Inc. (formerly Orbital Imaging Corporation, or ORBIMAGE) was an American commercial satellite imagery company based in Herndon, Virginia. GeoEye was merged into the DigitalGlobe corporation on January 29, 2013. The company was founded in 1992 as a division of Orbital Sciences Corporation in the wake of the 1992 Land Remote Sensing Policy Act which permitted private companies to enter the satellite imaging business. The division was spun off in 1997. It changed its name to GeoEye in 2006 after acquiring Denver, Colorado-based Space Imaging Corporation for $58 million. Space Imaging was founded and controlled by Raytheon and Lockheed Martin. Its principal asset was the IKONOS satellite; the company was founded in the 1990s for the purpose of managing the project that became the IKONOS satellite. Although ORBIMAGE's first chairman was Orbital chairman David W. Thompson, and Orbital at the time owned more than 60 percent of the stock, it no longer has a substantial inter ...
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Maxar Technologies
Maxar Technologies Inc. is an American space technology company headquartered in Westminster, Colorado, United States, specializing in geospatial intelligence, Earth observation, and on-orbit servicing satellites, satellite products, and related services. DigitalGlobe and MDA Holdings Company merged to become Maxar Technologies on October 5, 2017. Maxar Technologies is the parent holding company of Maxar Space Systems, headquartered in Palo Alto, California, US; and Maxar Intelligence, headquartered in Westminster, Colorado, US. From 2017 to 2023, it was dual-listed on the Toronto Stock Exchange and New York Stock Exchange as MAXR. In May 2023, Maxar was acquired by private equity firm Advent International, in an all-cash transaction worth $6.4 billion. Maxar's satellite data was used by Ukraine as part of its defense against Russia's invasion of its territory. In March 2025, Maxar was pressurized by the Donald Trump administration to shut down Ukraine's access to the ...
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HSL And HSV
HSL and HSV are the two most common cylindrical coordinate system, cylindrical-coordinate representations of points in an RGB color model. The two representations rearrange the geometry of RGB in an attempt to be more intuitive and color vision, perceptually relevant than the cartesian coordinate system, cartesian (cube) representation. Developed in the 1970s for computer graphics applications, HSL and HSV are used today in color tool, color pickers, in image editing software, and less commonly in image analysis and computer vision. HSL stands for ''hue'', ''saturation'', and ''lightness'', and is often also called HLS. HSV stands for ''hue'', ''saturation'', and ''value'', and is also often called HSB (''B'' for ''brightness''). A third model, common in computer vision applications, is HSI, for ''hue'', ''saturation'', and ''intensity''. However, while typically consistent, these definitions are not standardized, and any of these abbreviations might be used for any of these thre ...
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YCbCr
YCbCr, Y′CbCr, also written as YCBCR or Y′CBCR, is a family of color spaces used as a part of the color image pipeline in digital video and digital photography, photography systems. Like YPbPr, YPBPR, it is based on RGB primaries; the two are generally equivalent, but YCBCR is intended for digital video, while YPBPR is designed for use in Analogue electronics, analog systems. Y′ is the Luma (video), luma component, and CB and CR are the B-Y, blue-difference and R-Y, red-difference chrominance, chroma components. Luma Y′ (with Prime (symbol), prime) is distinguished from relative luminance, luminance Y, meaning that light intensity is nonlinearly encoded based on gamma corrected RGB primaries. Y′CbCr color spaces are defined by a mathematical coordinate transformation from an associated RGB primaries and white point. If the underlying RGB color spaces, RGB color space is absolute, the Y′CbCr color space is an absolute color space as well; conversely, if the RGB spa ...
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Principal Component Analysis
Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data preprocessing. The data is linearly transformed onto a new coordinate system such that the directions (principal components) capturing the largest variation in the data can be easily identified. The principal components of a collection of points in a real coordinate space are a sequence of p unit vectors, where the i-th vector is the direction of a line that best fits the data while being orthogonal to the first i-1 vectors. Here, a best-fitting line is defined as one that minimizes the average squared perpendicular distance from the points to the line. These directions (i.e., principal components) constitute an orthonormal basis in which different individual dimensions of the data are linearly uncorrelated. Many studies use the first two principal components in order to plot the data in two dimensions and to visually identi ...
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