The Reference Elevation Model of Antarctica (REMA) is a digital elevation model (DEM) that covers almost the entire continent of Antarctica at a resolution of less than 10 m.
32-824: REMA uses stereophotogrammetry to provide high-quality surface measurements of the surface of the ice sheet that covers most of the continent, despite the low contrast of the satellite images. Elements of the mosaic include an error estimate and a time stamp, so changes in the ice or snow surface can be measured. Absolute uncertainty should be less than 1 meter, and relative uncertainties should be in decimeters. The satellite images have pixel ground resolutions of under 0.5 meters, and overlapping images from different angles can be used to extract elevation data for DEMs. Based only on satellite position, there may be errors of several meters, but through ground control registration these can be reduced to point-to-point errors of 20 centimeters or less, comparable in accuracy to airborne lidar . Most of
64-517: A photomosaic that is "a composite photographic image of the ground," or more precisely, as a controlled photomosaic where "individual photographs are rectified for tilt and brought to a common scale (at least at certain control points)." Rectification of imagery is generally achieved by "fitting the projected images of each photograph to a set of four control points whose positions have been derived from an existing map or from ground measurements. When these rectified, scaled photographs are positioned on
96-402: A camera defines its location in space and its view direction. The inner orientation defines the geometric parameters of the imaging process. This is primarily the focal length of the lens, but can also include the description of lens distortions. Further additional observations play an important role: With scale bars , basically a known distance of two points in space, or known fix points ,
128-424: A grid of control points, a good correspondence can be achieved between them through skillful trimming and fitting and the use of the areas around the principal point where the relief displacements (which cannot be removed) are at a minimum." "It is quite reasonable to conclude that some form of photomap will become the standard general map of the future." They go on to suggest that, "photomapping would appear to be
160-684: A person from their face . Computers are indispensable for the analysis of large amounts of data, for tasks that require complex computation, or for the extraction of quantitative information. On the other hand, the human visual cortex is an excellent image analysis apparatus, especially for extracting higher-level information, and for many applications — including medicine, security, and remote sensing — human analysts still cannot be replaced by computers. For this reason, many important image analysis tools such as edge detectors and neural networks are inspired by human visual perception models. Digital Image Analysis or Computer Image Analysis
192-586: A photogrammetry API called Object Capture for macOS Monterey at the 2021 Apple Worldwide Developers Conference . In order to use the API, a MacBook running macOS Monterey and a set of captured digital images are required. Imagery analysis Image analysis or imagery analysis is the extraction of meaningful information from images ; mainly from digital images by means of digital image processing techniques. Image analysis tasks can be as simple as reading bar coded tags or as sophisticated as identifying
224-688: A small range of tasks, however there still aren't any known methods of image analysis that are generic enough for wide ranges of tasks, compared to the abilities of a human's image analysing capabilities. Examples of image analysis techniques in different fields include: The applications of digital image analysis are continuously expanding through all areas of science and industry, including: Object-based image analysis ( OBIA ) involves two typical processes, segmentation and classification. Segmentation helps to group pixels into homogeneous objects. The objects typically correspond to individual features of interest, although over-segmentation or under-segmentation
256-494: Is also possible to create digital terrain models and thus 3D visualisations using pairs (or multiples) of aerial photographs or satellite (e.g. SPOT satellite imagery). Techniques such as adaptive least squares stereo matching are then used to produce a dense array of correspondences which are transformed through a camera model to produce a dense array of x, y, z data which can be used to produce digital terrain model and orthoimage products. Systems which use these techniques, e.g.
288-429: Is crash scene photographs taken by the police. Photogrammetry is used to determine how much the car in question was deformed, which relates to the amount of energy required to produce that deformation. The energy can then be used to determine important information about the crash (such as the velocity at time of impact). Photomapping is the process of making a map with "cartographic enhancements" that have been drawn from
320-471: Is increasingly being used in maritime archaeology because of the relative ease of mapping sites compared to traditional methods, allowing the creation of 3D maps which can be rendered in virtual reality . A somewhat similar application is the scanning of objects to automatically make 3D models of them. Since photogrammetry relies on images, there are physical limitations when those images are of an object that has dark, shiny or clear surfaces. In those cases,
352-500: Is the extraction of three-dimensional measurements from two-dimensional data (i.e. images); for example, the distance between two points that lie on a plane parallel to the photographic image plane can be determined by measuring their distance on the image, if the scale of the image is known. Another is the extraction of accurate color ranges and values representing such quantities as albedo , specular reflection , metallicity , or ambient occlusion from photographs of materials for
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#1732877219760384-605: Is the science and technology of obtaining reliable information about physical objects and the environment through the process of recording, measuring and interpreting photographic images and patterns of electromagnetic radiant imagery and other phenomena. While the invention of the method is attributed to Aimé Laussedat , the term "photogrammetry" was coined by the German architect Albrecht Meydenbauer [ de ] , which appeared in his 1867 article "Die Photometrographie." There are many variants of photogrammetry. One example
416-505: Is very likely. Classification then can be performed at object levels, using various statistics of the objects as features in the classifier. Statistics can include geometry, context and texture of image objects. Over-segmentation is often preferred over under-segmentation when classifying high-resolution images. Object-based image analysis has been applied in many fields, such as cell biology, medicine, earth sciences, and remote sensing. For example, it can detect changes of cellular shapes in
448-444: Is when a computer or electrical device automatically studies an image to obtain useful information from it. Note that the device is often a computer but may also be an electrical circuit, a digital camera or a mobile phone. It involves the fields of computer or machine vision , and medical imaging , and makes heavy use of pattern recognition , digital geometry , and signal processing . This field of computer science developed in
480-469: The Levenberg–Marquardt algorithm . A special case, called stereophotogrammetry , involves estimating the three-dimensional coordinates of points on an object employing measurements made in two or more photographic images taken from different positions (see stereoscopy ). Common points are identified on each image. A line of sight (or ray) can be constructed from the camera location to the point on
512-816: The University of Minnesota College of Science and Engineering under a scientific use licensing agreement with the United States National Geospatial-Intelligence Agency . The stereopair images were processed by software developed at the Ohio State University to create DEMs using the Blue Waters supercomputer at the National Center for Supercomputing Applications at the University of Illinois Urbana-Champaign . The images are available only to US federally funded investigators, but
544-689: The 1950s at academic institutions such as the MIT A.I. Lab, originally as a branch of artificial intelligence and robotics . It is the quantitative or qualitative characterization of two-dimensional (2D) or three-dimensional (3D) digital images . 2D images are, for example, to be analyzed in computer vision , and 3D images in medical imaging . The field was established in the 1950s—1970s, for example with pioneering contributions by Azriel Rosenfeld , Herbert Freeman , Jack E. Bresenham , or King-Sun Fu . There are many different techniques used in automatically analysing images. Each technique may be useful for
576-615: The ITG system, were developed in the 1980s and 1990s but have since been supplanted by LiDAR and radar-based approaches, although these techniques may still be useful in deriving elevation models from old aerial photographs or satellite images. Photogrammetry is used in fields such as topographic mapping , architecture , filmmaking , engineering , manufacturing , quality control , police investigation, cultural heritage , and geology . Archaeologists use it to quickly produce plans of large or complex sites, and meteorologists use it to determine
608-411: The actual, 3D relative motions. From its beginning with the stereoplotters used to plot contour lines on topographic maps , it now has a very wide range of uses such as sonar , radar , and lidar . Photogrammetry uses methods from many disciplines, including optics and projective geometry . Digital image capturing and photogrammetric processing includes several well defined stages, which allow
640-400: The connection to the basic measuring units is created. Each of the four main variables can be an input or an output of a photogrammetric method. Algorithms for photogrammetry typically attempt to minimize the sum of the squares of errors over the coordinates and relative displacements of the reference points. This minimization is known as bundle adjustment and is often performed using
672-518: The derived products, including DEMs, are distributed openly. The Polar Geospatial Center supports a REMA Explorer application that lets public users browse the data online. They can enter coordinates or a place name to zoom in on a small area, and choose different renderings such as hill shades, elevation tinted, contour. They can obtain information about any point of the ice surface, including resolution, aspect, slope, ellipsoid height and orthometric height. Stereophotogrammetry Photogrammetry
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#1732877219760704-448: The edges of buildings when the point cloud footprint can not. It is beneficial to incorporate the advantages of both systems and integrate them to create a better product. A 3D visualization can be created by georeferencing the aerial photos and LiDAR data in the same reference frame, orthorectifying the aerial photos, and then draping the orthorectified images on top of the LiDAR grid. It
736-427: The game Hellblade: Senua's Sacrifice was derived from photogrammetric motion-capture models taken of actress Melina Juergens. Photogrammetry is also commonly employed in collision engineering, especially with automobiles. When litigation for a collision occurs and engineers need to determine the exact deformation present in the vehicle, it is common for several years to have passed and the only evidence that remains
768-419: The generation of 2D or 3D digital models of the object as an end product. The data model on the right shows what type of information can go into and come out of photogrammetric methods. The 3D coordinates define the locations of object points in the 3D space . The image coordinates define the locations of the object points' images on the film or an electronic imaging device. The exterior orientation of
800-530: The initial data was collected over the austral summer seasons of 2015 and 2016. The model is updated with new DEM strips twice per year. Derived mosaic products are added as they become available. REMA was built using stereoscopic imagery from the WorldView-1 , WorldView-2 , WorldView-3 and GeoEye-1 satellites, operated by DigitalGlobe . The images are distributed by the Polar Geospatial Center at
832-557: The object. It is the intersection of these rays ( triangulation ) that determines the three-dimensional location of the point. More sophisticated algorithms can exploit other information about the scene that is known a priori , for example symmetries , in some cases allowing reconstructions of 3D coordinates from only one camera position. Stereophotogrammetry is emerging as a robust non-contacting measurement technique to determine dynamic characteristics and mode shapes of non-rotating and rotating structures. The collection of images for
864-1095: The only way to take reasonable advantage" of future data sources like high altitude aircraft and satellite imagery. Demonstrating the link between orthophotomapping and archaeology , historic airphotos photos were used to aid in developing a reconstruction of the Ventura mission that guided excavations of the structure's walls. Overhead photography has been widely applied for mapping surface remains and excavation exposures at archaeological sites. Suggested platforms for capturing these photographs has included: War Balloons from World War I; rubber meteorological balloons; kites ; wooden platforms, metal frameworks, constructed over an excavation exposure; ladders both alone and held together with poles or planks; three legged ladders; single and multi-section poles; bipods; tripods; tetrapods, and aerial bucket trucks ("cherry pickers"). Handheld, near-nadir, overhead digital photographs have been used with geographic information systems ( GIS ) to record excavation exposures. Photogrammetry
896-601: The process of cell differentiation.; it has also been widely used in the mapping community to generate land cover . When applied to earth images , OBIA is known as geographic object-based image analysis (GEOBIA), defined as "a sub-discipline of geoinformation science devoted to (...) partitioning remote sensing (RS) imagery into meaningful image-objects, and assessing their characteristics through spatial, spectral and temporal scale". The international GEOBIA conference has been held biannually since 2006. OBIA techniques are implemented in software such as eCognition or
928-810: The produced model often still contains gaps, so additional cleanup with software like MeshLab , netfabb or MeshMixer is often still necessary. Alternatively, spray painting such objects with matte finish can remove any transparent or shiny qualities. Google Earth uses photogrammetry to create 3D imagery. There is also a project called Rekrei that uses photogrammetry to make 3D models of lost/stolen/broken artifacts that are then posted online. High-resolution 3D point clouds derived from UAV or ground-based photogrammetry can be used to automatically or semi-automatically extract rock mass properties such as discontinuity orientations, persistence, and spacing. There exist many software packages for photogrammetry; see comparison of photogrammetry software . Apple introduced
960-699: The purpose of creating photogrammetric models can be called more properly, polyoscopy, after Pierre Seguin Photogrammetric data can be complemented with range data from other techniques. Photogrammetry is more accurate in the x and y direction while range data are generally more accurate in the z direction . This range data can be supplied by techniques like LiDAR , laser scanners (using time of flight , triangulation or interferometry ), white-light digitizers and any other technique that scans an area and returns x, y, z coordinates for multiple discrete points (commonly called " point clouds "). Photos can clearly define
992-511: The purposes of physically based rendering . Close-range photogrammetry refers to the collection of photography from a lesser distance than traditional aerial (or orbital) photogrammetry. Photogrammetric analysis may be applied to one photograph, or may use high-speed photography and remote sensing to detect, measure and record complex 2D and 3D motion fields by feeding measurements and imagery analysis into computational models in an attempt to successively estimate, with increasing accuracy,
Reference Elevation Model of Antarctica - Misplaced Pages Continue
1024-553: The wind speed of tornadoes when objective weather data cannot be obtained. It is also used to combine live action with computer-generated imagery in movies post-production ; The Matrix is a good example of the use of photogrammetry in film (details are given in the DVD extras). Photogrammetry was used extensively to create photorealistic environmental assets for video games including The Vanishing of Ethan Carter as well as EA DICE 's Star Wars Battlefront . The main character of
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